mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 15 Nov 2023

291 papers

  1. Stealthy and Persistent Unalignment on Large Language Models via Backdoor InjectionsLLM safety and security → Backdoor and data poisoning attacks
  2. Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep DiffusionDiffusion models → Flow matching, time series and science
  3. MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction TuningMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  4. Memory Augmented Language Models through Mixture of Word ExpertsMixture-of-experts → MoE large language models
  5. Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-AlignmentLLM safety and security → Safety alignment, refusal and guardrails +1
  6. Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging ResearchDiffusion models → Medical imaging and segmentation
  7. Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for ScienceRetrieval-augmented generation → Generation and context integration
  8. Privacy Threats in Stable Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  9. Generalizable Imitation Learning Through Pre-Trained RepresentationsOffline RL and imitation learning from data → Robot manipulation imitation learning
  10. Generative AI-Based Probabilistic Constellation Shaping With Diffusion ModelsDiffusion models → Diffusion for compression and wireless
  11. LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  12. Temperature-scaling surprisal estimates improve fit to human reading times -- but does it do so for the "right reasons"?LLM reasoning → Test-time compute and efficient thinking
  13. Contrastive Chain-of-Thought PromptingLLM reasoning → Prompting and chain-of-thought reasoning
  14. FastBlend: a Powerful Model-Free Toolkit Making Video Stylization EasierDiffusion models → Video generation
  15. Single-Image 3D Human Digitization with Shape-Guided DiffusionDiffusion models → 3D, point cloud and scene generation
  16. Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  17. Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language ModelsRetrieval-augmented generation → Generation and context integration
  18. The Role of Chain-of-Thought in Complex Vision-Language Reasoning TaskLLM reasoning → Multimodal reasoning
  19. SiRA: Sparse Mixture of Low Rank AdaptationMixture-of-experts → Mixture of LoRA experts
  20. Temporal Knowledge Question Answering via Abstract Reasoning InductionLLM reasoning → Knowledge- and tool-augmented reasoning
  21. Aligning Neural Machine Translation Models: Human Feedback in Training and InferenceLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  22. Jailbreaking GPT-4V via Self-Adversarial Attacks with System PromptsLLM safety and security → Jailbreaking
  23. Towards A Unified View of Answer Calibration for Multi-Step ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  24. Defending Large Language Models Against Jailbreaking Attacks Through Goal PrioritizationLLM safety and security → Jailbreaking
  25. Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World ModelsWorld models → Video-generation world models and simulators
  26. Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question PromptsLLM reasoning → Multimodal reasoning
  27. GRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding in multimodal language modelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  28. Fast Certification of Vision-Language Models Using Incremental Randomized SmoothingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  29. A Spectral Diffusion Prior for Hyperspectral Image Super-ResolutionDiffusion models → Inverse problems and image restoration
  30. Supported Trust Region Optimization for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  31. Self-Improving for Zero-Shot Named Entity Recognition with Large Language ModelsSynthetic data and self-improvement for LLMs → Self-training for few-shot NLP
  32. One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  33. Violet: A Vision-Language Model for Arabic Image Captioning with Gemini DecoderMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  34. Exploring Links between Conversational Agent Design Challenges and Interdisciplinary CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
  35. StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem SolvingLLM reasoning → Prompting and chain-of-thought reasoning
  36. A Diffusion Model Based Quality Enhancement Method for HEVC Compressed VideoDiffusion models → Inverse problems and image restoration
  37. Graph Signal Diffusion Model for Collaborative FilteringDiffusion models → Diffusion recommenders
  38. Thread of Thought Unraveling Chaotic ContextsLLM reasoning → Prompting and chain-of-thought reasoning
  39. A Robust Semantics-based Watermark for Large Language Model against ParaphrasingLLM safety and security → Watermarking generated content and models
  40. Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term MemoryLLM reasoning → Reasoning for agents, planning and code
  41. Routing to the Expert: Efficient Reward-guided Ensemble of Large Language ModelsLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  42. Safer-Instruct: Aligning Language Models with Automated Preference DataLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  43. EDMSound: Spectrogram Based Diffusion Models for Efficient and High-Quality Audio SynthesisDiffusion models → Audio, speech and music
  44. Autonomous Large Language Model Agents Enabling Intent-Driven Mobile GUI TestingLLM agents and tool use → GUI and mobile agents
  45. Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence GenerationKnowledge distillation → Knowledge distillation for LLMs
  46. Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language InferenceLLM reasoning → Reasoning benchmarks and evaluation
  47. DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer ModelsEfficient LLM inference and serving → Early exit and edge inference
  48. XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMsLLM reasoning → Reasoning benchmarks and evaluation
  49. Improving Generalization of Drowsiness State Classification by Domain-Specific Normalization
  50. Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review
  51. Point-of-Care Real-Time Signal Quality for Fetal Doppler Ultrasound Using a Deep Learning Approach
  52. Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding
  53. FocalPose++: Focal Length and Object Pose Estimation via Render and Compare
  54. Towards Publicly Accountable Frontier LLMs: Building an External Scrutiny Ecosystem under the ASPIRE Framework
  55. Neuroscience inspired scientific machine learning (Part-2): Variable spiking wavelet neural operator
  56. Towards Long-term Annotators: A Supervised Label Aggregation Baseline
  57. ToolTalk: Evaluating Tool-Usage in a Conversational Setting
  58. User Persona Identification and New Service Adaptation Recommendation
  59. Automatic Restoration of Diacritics for Speech Data Sets
  60. Exponentially Faster Language Modelling
  61. Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing
  62. Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values
  63. Enhancing Machine Translation through Advanced In-Context Learning: A Methodological Strategy for GPT-4 Improvement
  64. Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction
  65. Comparing Generalization in Learning with Limited Numbers of Exemplars: Transformer vs. RNN in Attractor Dynamics
  66. zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
  67. VideoCon: Robust Video-Language Alignment via Contrast Captions
  68. On Convex Optimal Value Functions For POSGs
  69. Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries
  70. HAL 9000: a Risk Manager for ITSs
  71. How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities
  72. Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset
  73. Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning
  74. Labeled Interactive Topic Models
  75. Striped Attention: Faster Ring Attention for Causal Transformers
  76. Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models
  77. Predicting Spine Geometry and Scoliosis from DXA Scans
  78. Predicting generalization performance with correctness discriminators
  79. When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour
  80. Alternatives to the Scaled Dot Product for Attention in the Transformer Neural Network Architecture
  81. To Translate or Not to Translate: A Systematic Investigation of Translation-Based Cross-Lingual Transfer to Low-Resource Languages
  82. MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains
  83. LEEETs-Dial: Linguistic Entrainment in End-to-End Task-oriented Dialogue systems
  84. Neural machine translation for automated feedback on children's early-stage writing
  85. Banach-Tarski Embeddings and Transformers
  86. Gram-Schmidt Methods for Unsupervised Feature Extraction and Selection
  87. Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach
  88. Time-dependent Probabilistic Generative Models for Disease Progression
  89. A Survey on Online User Aggression: Content Detection and Behavioral Analysis on Social Media
  90. LOKE: Linked Open Knowledge Extraction for Automated Knowledge Graph Construction
  91. Investigating the Emergent Audio Classification Ability of ASR Foundation Models
  92. RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination Prior
  93. LePaRD: A Large-Scale Dataset of Judges Citing Precedents
  94. Nondestructive, quantitative viability analysis of 3D tissue cultures using machine learning image segmentation
  95. Nothing Stands Still: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change
  96. Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization
  97. Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data
  98. Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization
  99. Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production
  100. A Comparative Analysis of Machine Learning Models for Early Detection of Hospital-Acquired Infections
All 291
  1. Spoken Word2Vec: Learning Skipgram Embeddings from Speech
  2. H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing
  3. Divergences between Language Models and Human Brains
  4. Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models
  5. Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset
  6. Improved Sparse Ising Optimization
  7. Constructing interpretable principal curve using Neural ODEs
  8. In-vehicle Sensing and Data Analysis for Older Drivers with Mild Cognitive Impairment
  9. Linear time Evidence Accumulation Clustering with KMeans
  10. An Empathetic User-Centric Chatbot for Emotional Support
  11. FedCode: Communication-Efficient Federated Learning via Transferring Codebooks
  12. NormNet: Scale Normalization for 6D Pose Estimation in Stacked Scenarios
  13. Neuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regression
  14. Adversarially Robust Spiking Neural Networks Through Conversion
  15. Cross-domain feature disentanglement for interpretable modeling of tumor microenvironment impact on drug response
  16. Auto-ICL: In-Context Learning without Human Supervision
  17. Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement
  18. Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network
  19. DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model
  20. Assessing Translation capabilities of Large Language Models involving English and Indian Languages
  21. ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
  22. GENEVA: GENErating and Visualizing branching narratives using LLMs
  23. Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Survey
  24. TableLlama: Towards Open Large Generalist Models for Tables
  25. When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages
  26. Fusion-Eval: Integrating Assistant Evaluators with LLMs
  27. Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?
  28. Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training
  29. A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width
  30. Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge
  31. Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models
  32. Domain Aligned CLIP for Few-shot Classification
  33. On the Computation of the Gaussian Rate-Distortion-Perception Function
  34. PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language Models
  35. Towards Verifiable Text Generation with Symbolic References
  36. Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
  37. ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models
  38. Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
  39. RBPGAN: Recurrent Back-Projection GAN for Video Super Resolution
  40. Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?
  41. AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph
  42. Approaching adverse event detection utilizing transformers on clinical time-series
  43. CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models
  44. Model Agnostic Explainable Selective Regression via Uncertainty Estimation
  45. Grounding Gaps in Language Model Generations
  46. Machine-learning parameter tracking with partial state observation
  47. Causal prediction models for medication safety monitoring: The diagnosis of vancomycin-induced acute kidney injury
  48. Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation
  49. Social Meme-ing: Measuring Linguistic Variation in Memes
  50. Fast Detection of Phase Transitions with Multi-Task Learning-by-Confusion
  51. Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
  52. WildlifeDatasets: An open-source toolkit for animal re-identification
  53. R-Spin: Efficient Speaker and Noise-invariant Representation Learning with Acoustic Pieces
  54. HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data
  55. Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
  56. Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
  57. "We Demand Justice!": Towards Social Context Grounding of Political Texts
  58. MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation
  59. Cross-view and Cross-pose Completion for 3D Human Understanding
  60. Guided Scale Space Radon Transform for linear structures detection
  61. Can MusicGen Create Training Data for MIR Tasks?
  62. Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions
  63. Social Bias Probing: Fairness Benchmarking for Language Models
  64. The Uli Dataset: An Exercise in Experience Led Annotation of oGBV
  65. Contrastive Transformer Learning with Proximity Data Generation for Text-Based Person Search
  66. Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation
  67. How Vocabulary Sharing Facilitates Multilingualism in LLaMA?
  68. How Well Do Large Language Models Truly Ground?
  69. Learning Fair Division from Bandit Feedback
  70. Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts
  71. Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems with Convex Constraints
  72. Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks
  73. Improving Deep Learning Optimization through Constrained Parameter Regularization
  74. Assessing Knowledge Editing in Language Models via Relation Perspective
  75. MELA: Multilingual Evaluation of Linguistic Acceptability
  76. Self-Annotated 3D Geometric Learning for Smeared Points Removal
  77. Assessing the Robustness of Intelligence-Driven Reinforcement Learning
  78. Exploring the Potential of Large Language Models in Computational Argumentation
  79. On the Foundation of Distributionally Robust Reinforcement Learning
  80. Semidefinite programs simulate approximate message passing robustly
  81. Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
  82. Adversarial Attacks to Reward Machine-based Reinforcement Learning
  83. End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions
  84. Data Similarity is Not Enough to Explain Language Model Performance
  85. Incremental Object-Based Novelty Detection with Feedback Loop
  86. Taming under isoperimetry
  87. Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
  88. Leveraging AI for Natural Disaster Management : Takeaways From The Moroccan Earthquake
  89. Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images
  90. When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks
  91. sQUlearn -- A Python Library for Quantum Machine Learning
  92. Proceedings Fifth International Workshop on Formal Methods for Autonomous Systems
  93. SentAlign: Accurate and Scalable Sentence Alignment
  94. Speculative Contrastive Decoding
  95. A Multimodal Dataset of 21,412 Recorded Nights for Sleep and Respiratory Research
  96. Probability of Collision of satellites and space debris for short-term encounters: Rederivation and fast-to-compute upper and lower bounds
  97. Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging
  98. Identifying Linear Relational Concepts in Large Language Models
  99. Improving Large-scale Deep Biasing with Phoneme Features and Text-only Data in Streaming Transducer
  100. I Was Blind but Now I See: Implementing Vision-Enabled Dialogue in Social Robots
  101. Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard
  102. A Single-Loop Algorithm for Decentralized Bilevel Optimization
  103. Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace Control
  104. Transformers in the Service of Description Logic-based Contexts
  105. Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness
  106. Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation
  107. Leveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery
  108. Efficiently Escaping Saddle Points for Policy Optimization
  109. Progressive Feedback-Enhanced Transformer for Image Forgery Localization
  110. DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack
  111. Robust Brain MRI Image Classification with SIBOW-SVM
  112. On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
  113. HeLM: Highlighted Evidence augmented Language Model for Enhanced Table-to-Text Generation
  114. Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning
  115. AdapterShadow: Adapting Segment Anything Model for Shadow Detection
  116. Large Language Models are legal but they are not: Making the case for a powerful LegalLLM
  117. CLIMB: Curriculum Learning for Infant-inspired Model Building
  118. Distilling Rule-based Knowledge into Large Language Models
  119. Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation
  120. Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty
  121. Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques
  122. Advances in ACL2 Proof Debugging Tools
  123. Data Augmentations in Deep Weight Spaces
  124. Controlling the Output of a Generative Model by Latent Feature Vector Shifting
  125. OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining
  126. Statistical learning by sparse deep neural networks
  127. Personalized Video Relighting With an At-Home Light Stage
  128. Disinformation Capabilities of Large Language Models
  129. Evaluating Gender Bias in the Translation of Gender-Neutral Languages into English
  130. Correlation-Guided Query-Dependency Calibration for Video Temporal Grounding
  131. A* search algorithm for an optimal investment problem in vehicle-sharing systems
  132. Reinforcement Learning with Model Predictive Control for Highway Ramp Metering
  133. Frequency Domain-based Dataset Distillation
  134. MAP's not dead yet: Uncovering true language model modes by conditioning away degeneracy
  135. Texture and Noise Dual Adaptation for Infrared Image Super-Resolution
  136. Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations
  137. Correlation-aware active learning for surgery video segmentation
  138. SparseSpikformer: A Co-Design Framework for Token and Weight Pruning in Spiking Transformer
  139. EyeLS: Shadow-Guided Instrument Landing System for Intraocular Target Approaching in Robotic Eye Surgery
  140. German FinBERT: A German Pre-trained Language Model
  141. X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects
  142. Disentangle Before Anonymize: A Two-stage Framework for Attribute-preserved and Occlusion-robust De-identification
  143. ICRA Roboethics Challenge 2023: Intelligent Disobedience in an Elderly Care Home
  144. Language Semantic Graph Guided Data-Efficient Learning
  145. Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation
  146. Three Conjectures on Unexpectedeness
  147. Combining Past, Present and Future: A Self-Supervised Approach for Class Incremental Learning
  148. Forms of Understanding for XAI-Explanations
  149. 4K-Resolution Photo Exposure Correction at 125 FPS with ~8K Parameters
  150. Accelerating Toeplitz Neural Network with Constant-time Inference Complexity
  151. Environment-independent mmWave Fall Detection with Interacting Multiple Model
  152. Improved Dense Nested Attention Network Based on Transformer for Infrared Small Target Detection
  153. Using Stochastic Gradient Descent to Smooth Nonconvex Functions: Analysis of Implicit Graduated Optimization
  154. Enhancing Emergency Decision-making with Knowledge Graphs and Large Language Models
  155. Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission
  156. Knowledge Graph Construction in Power Distribution Networks
  157. Token Prediction as Implicit Classification to Identify LLM-Generated Text
  158. Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
  159. Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories
  160. PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning
  161. Joint User Pairing and Beamforming Design of Multi-STAR-RISs-Aided NOMA in the Indoor Environment via Multi-Agent Reinforcement Learning
  162. Aligned: A Platform-based Process for Alignment
  163. Evaluating Robustness of Dialogue Summarization Models in the Presence of Naturally Occurring Variations
  164. Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains
  165. Debate Helps Supervise Unreliable Experts
  166. Artificial General Intelligence, Existential Risk, and Human Risk Perception
  167. Attribute Diversity Determines the Systematicity Gap in VQA
  168. Enabling CMF Estimation in Data-Constrained Scenarios: A Semantic-Encoding Knowledge Mining Model
  169. An Eye on Clinical BERT: Investigating Language Model Generalization for Diabetic Eye Disease Phenotyping
  170. Federated Learning for Sparse Principal Component Analysis
  171. Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
  172. CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding
  173. On the Calibration of Multilingual Question Answering LLMs
  174. It Takes Two to Negotiate: Modeling Social Exchange in Online Multiplayer Games
  175. Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
  176. Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data
  177. Structured Estimation of Heterogeneous Time Series
  178. ConeQuest: A Benchmark for Cone Segmentation on Mars
  179. Review of AlexNet for Medical Image Classification
  180. Refining Perception Contracts: Case Studies in Vision-based Safe Auto-landing
  181. Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
  182. Painterly Image Harmonization via Adversarial Residual Learning
  183. Wrapper Boxes: Faithful Attribution of Model Predictions to Training Data
  184. Supervised low-rank semi-nonnegative matrix factorization with frequency regularization for forecasting spatio-temporal data
  185. Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
  186. Multiple-Question Multiple-Answer Text-VQA
  187. Toucan: Token-Aware Character Level Language Modeling
  188. Non-Uniform Smoothness for Gradient Descent
  189. Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
  190. Towards Generalizable SER: Soft Labeling and Data Augmentation for Modeling Temporal Emotion Shifts in Large-Scale Multilingual Speech
  191. Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis