mlsanityData to 7 Oct 2026

Papers

New on arXiv

Wed 21 Feb 2024

308 papers

  1. PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action ChainMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  2. Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and DistillationLLM reasoning → Prompting and chain-of-thought reasoning
  3. Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMsLLM safety and security → Jailbreaking
  4. LLM Based Multi-Agent Generation of Semi-structured Documents from Semantic Templates in the Public Administration DomainLLM agents and tool use → Web, search, and research agents
  5. Dynamic Evaluation of Large Language Models by Meta Probing AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  6. T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory StitchingDiffusion models → Diffusion foundations and sampling
  7. On Large Visual Language Models for Medical Imaging Analysis: An Empirical StudyMultimodal LLMs / vision-language models → Medical vision-language models
  8. Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without ReplacementEfficient LLM inference and serving → Speculative decoding
  9. TOOLVERIFIER: Generalization to New Tools via Self-VerificationLLM agents and tool use → Tool learning and function calling
  10. MM-Soc: Benchmarking Multimodal Large Language Models in Social Media PlatformsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  11. Fake Resume Attacks: Data Poisoning on Online Job PlatformsLLM safety and security → Backdoor and data poisoning attacks
  12. Beyond A*: Better Planning with Transformers via Search Dynamics BootstrappingLLM reasoning → Prompting and chain-of-thought reasoning
  13. AgentScope: A Flexible yet Robust Multi-Agent PlatformLLM agents and tool use → General LLM agent frameworks and benchmarks
  14. Coercing LLMs to do and reveal (almost) anythingLLM safety and security → Jailbreaking
  15. D-Flow: Differentiating through Flows for Controlled GenerationDiffusion models → Flow matching, time series and science
  16. Corrective Machine UnlearningLLM safety and security → Machine unlearning
  17. OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific ProblemsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  18. Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language ModelsLLM safety and security → Watermarking generated content and models
  19. Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  20. SDXL-Lightning: Progressive Adversarial Diffusion DistillationDiffusion models → Diffusion foundations and sampling
  21. Large Language Models are Vulnerable to Bait-and-Switch Attacks for Generating Harmful ContentLLM safety and security → Safety alignment, refusal and guardrails
  22. SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical SummarizationLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  23. Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis ApproachDiffusion models → Diffusion foundations and sampling
  24. Science Checker Reloaded: A Bidirectional Paradigm for Transparency and Logical ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  25. VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  26. NeuralDiffuser: Neuroscience-inspired Diffusion Guidance for fMRI Visual ReconstructionDiffusion models → Medical imaging and segmentation
  27. Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future DirectionsOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
  28. Cas-DiffCom: Cascaded diffusion model for infant longitudinal super-resolution 3D medical image completionDiffusion models → Medical imaging and segmentation
  29. Music Style Transfer with Time-Varying Inversion of Diffusion ModelsDiffusion models → Audio, speech and music
  30. Reasoning Algorithmically in Graph Neural NetworksLLM reasoning → Reasoning benchmarks and evaluation
  31. RNDiff: Rainfall nowcasting with Condition Diffusion ModelDiffusion models → Flow matching, time series and science
  32. Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet RepresentationDiffusion models → Video generation
  33. Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative DecodingEfficient LLM inference and serving → Speculative decoding
  34. Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing AgentLLM agents and tool use → Social simulation and multi-agent debate
  35. Privacy-Preserving Instructions for Aligning Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  36. A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  37. MORE: Multi-mOdal REtrieval Augmented Generative Commonsense ReasoningLLM reasoning → Multimodal reasoning +1
  38. CODIS: Benchmarking Context-Dependent Visual Comprehension for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  39. KorNAT: LLM Alignment Benchmark for Korean Social Values and Common KnowledgeLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  40. Hybrid Reasoning Based on Large Language Models for Autonomous Car DrivingLLM reasoning → Chain-of-thought reasoning for driving +1
  41. BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
  42. ToDo: Token Downsampling for Efficient Generation of High-Resolution ImagesDiffusion models → Diffusion foundations and sampling
  43. Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge AlignmentMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  44. DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadDiffusion models → Flow matching, time series and science
  45. ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition ModelingLLM reasoning → Reasoning benchmarks and evaluation
  46. ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance LabelingRetrieval-augmented generation → Generation and context integration
  47. Round Trip Translation Defence against Large Language Model Jailbreaking AttacksLLM safety and security → Jailbreaking
  48. ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language ModelsEfficient LLM inference and serving → Early exit and edge inference
  49. Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown QuestionsLLM reasoning → Reasoning benchmarks and evaluation
  50. GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient AnalysisLLM safety and security → Jailbreaking
  51. Contrastive Prompts Improve Disentanglement in Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  52. ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel DecodingEfficient LLM inference and serving → Speculative decoding
  53. Retrieval-Augmented Data Augmentation for Low-Resource Domain TasksRetrieval-augmented generation → Generation and context integration
  54. Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement LearningEnd-to-end autonomous driving → Cooperative and V2X driving
  55. Leveraging Demonstrator-perceived Precision for Safe Interactive Imitation Learning of Clearance-limited TasksOffline RL and imitation learning from data → Safe offline RL
  56. Learning to Poison Large Language Models for Downstream ManipulationLLM reasoning → Reasoning for agents, planning and code +1
  57. A Comprehensive Study of Jailbreak Attack versus Defense for Large Language ModelsLLM safety and security → Jailbreaking
  58. Computation Offloading for Multi-server Multi-access Edge Vehicular Networks: A DDQN-based Method
  59. Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
  60. Designing Multi-Step Action Models for Enterprise AI Adoption
  61. Exploring ChatGPT and its Impact on Society
  62. Revolutionising Distance Learning: A Comparative Study of Learning Progress with AI-Driven Tutoring
  63. Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
  64. Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
  65. Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting
  66. DREsS: Dataset for Rubric-based Essay Scoring on EFL Writing
  67. Understanding the Dataset Practitioners Behind Large Language Model Development
  68. A Study on the Vulnerability of Test Questions against ChatGPT-based Cheating
  69. Automatic Histograms: Leveraging Language Models for Text Dataset Exploration
  70. Evaluating the Efficacy of LLMs to Emulate Realistic Human Personalities
  71. Estimation of Energy-dissipation Lower-bounds for Neuromorphic Learning-in-memory
  72. Machine-learning prediction of tipping with applications to the Atlantic Meridional Overturning Circulation
  73. What's in a Name? Auditing Large Language Models for Race and Gender Bias
  74. Technical Report on the Pangram AI-Generated Text Classifier
  75. Effects of term weighting approach with and without stop words removing on Arabic text classification
  76. APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models
  77. Evaluation of a semi-autonomous attentive listening system with takeover prompting
  78. SISSA: Real-time Monitoring of Hardware Functional Safety and Cybersecurity with In-vehicle SOME/IP Ethernet Traffic
  79. CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks
  80. Ranking Large Language Models without Ground Truth
  81. Linear Transformers are Versatile In-Context Learners
  82. Bangla AI: A Framework for Machine Translation Utilizing Large Language Models for Ethnic Media
  83. Blending Data-Driven Priors in Dynamic Games
  84. A Temporal Stochastic Bias Correction using a Machine Learning Attention model
  85. Can Similarity-Based Domain-Ordering Reduce Catastrophic Forgetting for Intent Recognition?
  86. BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
  87. Data-Driven Dynamic Friction Models based on Recurrent Neural Networks
  88. Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia
  89. Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
  90. Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
  91. SecurePose: Automated Face Blurring and Human Movement Kinematics Extraction from Videos Recorded in Clinical Settings
  92. NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning
  93. GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors
  94. Random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation
  95. Combining Language and Graph Models for Semi-structured Information Extraction on the Web
  96. DeiSAM: Segment Anything with Deictic Prompting
  97. Masked Matrix Multiplication for Emergent Sparsity
  98. FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models
  99. Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation
  100. Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression
All 308
  1. Learning dynamic representations of the functional connectome in neurobiological networks
  2. Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation
  3. EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy
  4. Intriguing Properties of Modern GANs
  5. EyeTrans: Merging Human and Machine Attention for Neural Code Summarization
  6. Zero-shot generalization across architectures for visual classification
  7. Social Environment Design
  8. LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons
  9. Motion Code: Robust Time Series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning
  10. Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests
  11. Improving Language Understanding from Screenshots
  12. On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation
  13. Generative Adversarial Models for Extreme Geospatial Downscaling
  14. PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
  15. Simple and Effective Transfer Learning for Neuro-Symbolic Integration
  16. A Systematic Review of Low-Rank and Local Low-Rank Matrix Approximation in Big Data Medical Imaging
  17. A new approach for solving global optimization and engineering problems based on modified Sea Horse Optimizer
  18. Protect and Extend -- Using GANs for Synthetic Data Generation of Time-Series Medical Records
  19. E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
  20. Specialty detection in the context of telemedicine in a highly imbalanced multi-class distribution
  21. An Effective Networks Intrusion Detection Approach Based on Hybrid Harris Hawks and Multi-Layer Perceptron
  22. Wisdom of Committee: Diverse Distillation from Large Foundation Models and Domain Experts
  23. VN Network: Embedding Newly Emerging Entities with Virtual Neighbors
  24. Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment
  25. Misalignment, Learning, and Ranking: Harnessing Users Limited Attention
  26. Chasing Convex Functions with Long-term Constraints
  27. Geometry-Informed Neural Networks
  28. Hallucinations or Attention Misdirection? The Path to Strategic Value Extraction in Business Using Large Language Models
  29. Real-time 3D-aware Portrait Editing from a Single Image
  30. Asymptotics of Learning with Deep Structured (Random) Features
  31. Analysing The Impact of Sequence Composition on Language Model Pre-Training
  32. FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
  33. A Simple and Yet Fairly Effective Defense for Graph Neural Networks
  34. Stability-Aware Training of Machine Learning Force Fields with Differentiable Boltzmann Estimators
  35. The Importance of Architecture Choice in Deep Learning for Climate Applications
  36. Linear-Time Graph Neural Networks for Scalable Recommendations
  37. Towards Building Multilingual Language Model for Medicine
  38. Advancing Audio Fingerprinting Accuracy Addressing Background Noise and Distortion Challenges
  39. Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment
  40. BEE-NET: A deep neural network to identify in-the-wild Bodily Expression of Emotions
  41. Measuring Social Biases in Masked Language Models by Proxy of Prediction Quality
  42. AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning
  43. Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning
  44. Verifying message-passing neural networks via topology-based bounds tightening
  45. Distinctive Image Captioning: Leveraging Ground Truth Captions in CLIP Guided Reinforcement Learning
  46. Do Efficient Transformers Really Save Computation?
  47. Tumor segmentation on whole slide images: training or prompting?
  48. Enhancing Reinforcement Learning Agents with Local Guides
  49. The Delusional Hedge Algorithm as a Model of Human Learning from Diverse Opinions
  50. BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery
  51. Could We Have Had Better Multilingual LLMs If English Was Not the Central Language?
  52. Bias correction of wind power forecasts with SCADA data and continuous learning
  53. Position: Explain to Question not to Justify
  54. Replication Study: Enhancing Hydrological Modeling with Physics-Guided Machine Learning
  55. Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction
  56. Calibrating Large Language Models with Sample Consistency
  57. Dealing with unbounded gradients in stochastic saddle-point optimization
  58. Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
  59. A unified Bayesian framework for interval hypothesis testing in clinical trials
  60. Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models
  61. Scene Prior Filtering for Depth Super-Resolution
  62. Se2: Sequential Example Selection for In-Context Learning
  63. An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach
  64. Generative Probabilistic Time Series Forecasting and Applications in Grid Operations
  65. RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference -- Application to pulsar observations
  66. Kuaiji: the First Chinese Accounting Large Language Model
  67. Improving Efficiency of Iso-Surface Extraction on Implicit Neural Representations Using Uncertainty Propagation
  68. Replicable Learning of Large-Margin Halfspaces
  69. RealDex: Towards Human-like Grasping for Robotic Dexterous Hand
  70. Neural Control System for Continuous Glucose Monitoring and Maintenance
  71. Zero-BEV: Zero-shot Projection of Any First-Person Modality to BEV Maps
  72. Large Language Models are Advanced Anonymizers
  73. Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation
  74. MLXP: A Framework for Conducting Replicable Experiments in Python
  75. Identifying Unnecessary 3D Gaussians using Clustering for Fast Rendering of 3D Gaussian Splatting
  76. MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification
  77. Performance Improvement Bounds for Lipschitz Configurable Markov Decision Processes
  78. FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning
  79. Beyond Hate Speech: NLP's Challenges and Opportunities in Uncovering Dehumanizing Language
  80. A unified framework of non-local parametric methods for image denoising
  81. Voice-Driven Mortality Prediction in Hospitalized Heart Failure Patients: A Machine Learning Approach Enhanced with Diagnostic Biomarkers
  82. The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank
  83. The Geography of Information Diffusion in Online Discourse on Europe and Migration
  84. Scalable Methods for Brick Kiln Detection and Compliance Monitoring from Satellite Imagery: A Deployment Case Study in India
  85. Revisiting Convergence of AdaGrad with Relaxed Assumptions
  86. Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing
  87. Composing Reinforcement Learning Policies, with Formal Guarantees
  88. Semirings for Probabilistic and Neuro-Symbolic Logic Programming
  89. Preserving Near-Optimal Gradient Sparsification Cost for Scalable Distributed Deep Learning
  90. Contextual Molecule Representation Learning from Chemical Reaction Knowledge
  91. Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images
  92. Mask-up: Investigating Biases in Face Re-identification for Masked Faces
  93. Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex
  94. CriticEval: Evaluating Large Language Model as Critic
  95. Factual consistency evaluation of summarization in the Era of large language models
  96. High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard Fully Convolutional Networks
  97. Reinforcement learning-assisted quantum architecture search for variational quantum algorithms
  98. LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
  99. AI-Powered Predictions for Electricity Load in Prosumer Communities
  100. Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph
  101. Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction
  102. From Text to CQL: Bridging Natural Language and Corpus Search Engine
  103. Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models
  104. Average gradient outer product as a mechanism for deep neural collapse
  105. Sparse and Structured Hopfield Networks
  106. Bring Your Own Character: A Holistic Solution for Automatic Facial Animation Generation of Customized Characters
  107. The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning
  108. Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis
  109. ∞Bench: Extending Long Context Evaluation Beyond 100K Tokens
  110. An Evaluation of Large Language Models in Bioinformatics Research
  111. DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
  112. SaGE: Evaluating Moral Consistency in Large Language Models
  113. Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?
  114. On the Conflict of Robustness and Learning in Collaborative Machine Learning
  115. Automation of Quantum Dot Measurement Analysis via Explainable Machine Learning
  116. Generalizable Semantic Vision Query Generation for Zero-shot Panoptic and Semantic Segmentation
  117. CMNER: A Chinese Multimodal NER Dataset based on Social Media
  118. Computing Transiting Exoplanet Parameters with 1D Convolutional Neural Networks
  119. KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
  120. Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
  121. GCOF: Self-iterative Text Generation for Copywriting Using Large Language Model
  122. Measurement Uncertainty: Relating the uncertainties of physical and virtual measurements
  123. A Method For Bounding Tail Probabilities
  124. Stable Update of Regression Trees
  125. Improving a Proportional Integral Controller with Reinforcement Learning on a Throttle Valve Benchmark
  126. PQA: Zero-shot Protein Question Answering for Free-form Scientific Enquiry with Large Language Models
  127. Robustness of Deep Neural Networks for Micro-Doppler Radar Classification
  128. Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions
  129. A Large Dimensional Analysis of Multi-task Semi-Supervised Learning
  130. Class-Aware Mask-Guided Feature Refinement for Scene Text Recognition
  131. FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimization
  132. Green AI: A Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures
  133. The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review
  134. Learning Dual-arm Object Rearrangement for Cartesian Robots
  135. Delving into Dark Regions for Robust Shadow Detection
  136. UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs
  137. Adversarial Purification and Fine-tuning for Robust UDC Image Restoration
  138. Improving Building Temperature Forecasting: A Data-driven Approach with System Scenario Clustering
  139. FLAME: Self-Supervised Low-Resource Taxonomy Expansion using Large Language Models
  140. Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression
  141. YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
  142. Analyizing the Conjunction Fallacy as a Fact
  143. Overview of the VLSP 2023 -- ComOM Shared Task: A Data Challenge for Comparative Opinion Mining from Vietnamese Product Reviews
  144. Data-driven Discovery with Large Generative Models
  145. VOOM: Robust Visual Object Odometry and Mapping using Hierarchical Landmarks
  146. Convergence Acceleration of Markov Chain Monte Carlo-based Gradient Descent by Deep Unfolding
  147. MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models
  148. Breaking the HISCO Barrier: Automatic Occupational Standardization with OccCANINE
  149. User-LLM: Efficient LLM Contextualization with User Embeddings
  150. A cutting plane algorithm for globally solving low dimensional k-means clustering problems
  151. Knowledge Graph Enhanced Large Language Model Editing
  152. A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation
  153. WinoViz: Probing Visual Properties of Objects Under Different States
  154. LongWanjuan: Towards Systematic Measurement for Long Text Quality
  155. Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating
  156. Learning Pixel-wise Continuous Depth Representation via Clustering for Depth Completion
  157. TransGOP: Transformer-Based Gaze Object Prediction
  158. Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement
  159. Flexible Physical Camouflage Generation Based on a Differential Approach
  160. AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures
  161. Multilingual Coreference Resolution in Low-resource South Asian Languages
  162. Spot Check Equivalence: an Interpretable Metric for Information Elicitation Mechanisms
  163. Event-aware Video Corpus Moment Retrieval
  164. Analysis of Multi-Source Language Training in Cross-Lingual Transfer
  165. Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective
  166. Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions
  167. Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues
  168. LLMs Meet Long Video: Advancing Long Video Question Answering with An Interactive Visual Adapter in LLMs
  169. A Two-Stage Dual-Path Framework for Text Tampering Detection and Recognition
  170. EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization
  171. Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel
  172. An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling
  173. FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computing
  174. Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers
  175. Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation
  176. Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model
  177. Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response
  178. MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment
  179. OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models
  180. Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification
  181. RecMind: Japanese Movie Recommendation Dialogue with Seeker's Internal State
  182. Test-Driven Development for Code Generation
  183. RITFIS: Robust input testing framework for LLMs-based intelligent software
  184. From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
  185. SealD-NeRF: Interactive Pixel-Level Editing for Dynamic Scenes by Neural Radiance Fields
  186. SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
  187. Leveraging Translation For Optimal Recall: Tailoring LLM Personalization With User Profiles
  188. The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models
  189. In-Distribution Consistency Regularization Improves the Generalization of Quantization-Aware Training
  190. Heterogeneous Graph Neural Network on Semantic Tree
  191. Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models
  192. A Feature Matching Method Based on Multi-Level Refinement Strategy
  193. Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
  194. Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images
  195. How Important is Domain Specificity in Language Models and Instruction Finetuning for Biomedical Relation Extraction?
  196. STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning
  197. Unsupervised learning based object detection using Contrastive Learning
  198. RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models
  199. Potential and Challenges of Model Editing for Social Debiasing
  200. Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection
  201. LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data
  202. CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory
  203. ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance
  204. Large Language Models for Data Annotation and Synthesis: A Survey
  205. PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models
  206. A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making
  207. Learning to Retrieve for Job Matching
  208. Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing