mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 16 Nov 2023

287 papers

  1. FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-ClientsDiffusion models → Inverse problems and image restoration
  2. Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical SynthesisLLM agents and tool use → Medical and scientific domain agents
  3. MedAgents: Large Language Models as Collaborators for Zero-shot Medical ReasoningLLM reasoning → Clinical and biomedical applications
  4. Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case StudyLLM safety and security → Safety alignment, refusal and guardrails
  5. Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind CapabilitiesWorld models → World models for language agents +1
  6. Predictive Minds: LLMs As Atypical Active Inference AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  7. Learning to Reconstruct Accelerated MRI Through K-space Cold Diffusion without NoiseDiffusion models → Medical imaging and segmentation
  8. MetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and TextureDiffusion models → 3D, point cloud and scene generation
  9. Video-LLaVA: Learning United Visual Representation by Alignment Before ProjectionMultimodal LLMs / vision-language models → Video understanding with MLLMs
  10. The Chosen One: Consistent Characters in Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  11. DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language FeedbackMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
  12. TransFusion -- A Transparency-Based Diffusion Model for Anomaly DetectionDiffusion models → Flow matching, time series and science
  13. Score-based generative models learn manifold-like structures with constrained mixingDiffusion models → Diffusion foundations and sampling
  14. Hijacking Large Language Models via Adversarial In-Context LearningLLM safety and security → Prompt injection and agent security
  15. DSR-Diff: Depth Map Super-Resolution with Diffusion ModelDiffusion models → Inverse problems and image restoration
  16. ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level CodeLLM agents and tool use → Software engineering coding agents
  17. Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical ThinkingLLM reasoning → Reasoning for agents, planning and code +1
  18. MAM-E: Mammographic synthetic image generation with diffusion modelsDiffusion models → Medical imaging and segmentation
  19. Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction TuningLLM reasoning → Knowledge- and tool-augmented reasoning
  20. Downstream Trade-offs of a Family of Text WatermarksLLM safety and security → Watermarking generated content and models
  21. DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized DocumentsLLM reasoning → Mathematical reasoning
  22. Neuro-Symbolic Integration Brings Causal and Reliable Reasoning ProofsLLM reasoning → Reasoning benchmarks and evaluation
  23. FinanceMath: Knowledge-Intensive Math Reasoning in Finance DomainsLLM reasoning → Reasoning for agents, planning and code
  24. Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive DemonstrationsLLM safety and security → Backdoor and data poisoning attacks
  25. Graph Elicitation for Guiding Multi-Step Reasoning in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  26. Scene Text Image Super-resolution based on Text-conditional Diffusion ModelsDiffusion models → Inverse problems and image restoration
  27. DIFFNAT: Improving Diffusion Image Quality Using Natural Image StatisticsDiffusion models → Diffusion foundations and sampling
  28. P^3SUM: Preserving Author's Perspective in News Summarization with Diffusion Language ModelsDiffusion models → Discrete and text diffusion
  29. OVM, Outcome-supervised Value Models for Planning in Mathematical ReasoningLLM reasoning → Mathematical reasoning
  30. On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning +1
  31. Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?LLM reasoning → Hallucination detection and mitigation
  32. Improving the Generation Quality of Watermarked Large Language Models via Word Importance ScoringLLM safety and security → Watermarking generated content and models
  33. The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based AgentsLLM agents and tool use → Social simulation and multi-agent debate
  34. Structured Chemistry Reasoning with Large Language ModelsLLM reasoning → Clinical and biomedical applications
  35. RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  36. DECDM: Document Enhancement using Cycle-Consistent Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  37. Simulating Opinion Dynamics with Networks of LLM-based AgentsLLM agents and tool use → Social simulation and multi-agent debate
  38. Self-Contradictory Reasoning Evaluation and DetectionLLM reasoning → Test-time compute and efficient thinking
  39. A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time SeriesKnowledge distillation → Distillation for medical imaging
  40. Soft and Rigid Object Grasping With Cross-Structure Hand Using Bilateral Control-Based Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  41. Program-Aided Reasoners (better) Know What They KnowLLM reasoning → Reasoning benchmarks and evaluation
  42. Turning Your Strength into Watermark: Watermarking Large Language Model via Knowledge InjectionLLM safety and security → Watermarking generated content and models
  43. Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational AgentsLLM agents and tool use → Web, search, and research agents
  44. Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure CustomizationLLM agents and tool use → General LLM agent frameworks and benchmarks
  45. ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
  46. JAB: Joint Adversarial Prompting and Belief AugmentationLLM safety and security → Prompt injection and agent security
  47. vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders
  48. IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitation mechanism in ECG analysis
  49. Variants of Tagged Sentential Decision Diagrams
  50. Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework
  51. The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond
  52. Formal Verification of Long Short-Term Memory based Audio Classifiers: A Star based Approach
  53. Assurance for Deployed Continual Learning Systems
  54. A Systems-Theoretical Formalization of Closed Systems
  55. Text Sanitization Beyond Specific Domains: Zero-Shot Redaction & Substitution with Large Language Models
  56. ExFake: Towards an Explainable Fake News Detection Based on Content and Social Context Information
  57. A BERT based Ensemble Approach for Sentiment Classification of Customer Reviews and its Application to Nudge Marketing in e-Commerce
  58. Can Language Model Moderators Improve the Health of Online Discourse?
  59. Extending Neural Network Verification to a Larger Family of Piece-wise Linear Activation Functions
  60. Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations
  61. uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing
  62. A Systematic Review of Aspect-based Sentiment Analysis: Domains, Methods, and Trends
  63. The Analysis and Extraction of Structure from Organizational Charts
  64. Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making
  65. CV-Attention UNet: Attention-based UNet for 3D Cerebrovascular Segmentation of Enhanced TOF-MRA Images
  66. Asymptotically Fair Participation in Machine Learning Models: an Optimal Control Perspective
  67. A Language and Its Dimensions: Intrinsic Dimensions of Language Fractal Structures
  68. Stella Nera: A Differentiable Maddness-Based Hardware Accelerator for Efficient Approximate Matrix Multiplication
  69. Bayes in the age of intelligent machines
  70. Adaptive Optimization Algorithms for Machine Learning
  71. The Impact of Familiarity on Naming Variation: A Study on Object Naming in Mandarin Chinese
  72. Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts
  73. JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language Processing
  74. Improving Unimodal Inference with Multimodal Transformers
  75. Algebraic Topological Networks via the Persistent Local Homology Sheaf
  76. Intelligent Generation of Graphical Game Assets: A Conceptual Framework and Systematic Review of the State of the Art
  77. Learning interactions to boost human creativity with bandits and GPT-4
  78. I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization
  79. UnifiedVisionGPT: Streamlining Vision-Oriented AI through Generalized Multimodal Framework
  80. Slide-SAM: Medical SAM Meets Sliding Window
  81. Accommodating Missing Modalities in Time-Continuous Multimodal Emotion Recognition
  82. Now and Future of Artificial Intelligence-based Signet Ring Cell Diagnosis: A Survey
  83. Automatic Engineering of Long Prompts
  84. Wildfire Smoke Detection System: Model Architecture, Training Mechanism, and Dataset
  85. Traffic Video Object Detection using Motion Prior
  86. Adaptive Shells for Efficient Neural Radiance Field Rendering
  87. JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
  88. Emu Edit: Precise Image Editing via Recognition and Generation Tasks
  89. A Computationally Efficient Sparsified Online Newton Method
  90. Characterizing Tradeoffs in Language Model Decoding with Informational Interpretations
  91. ChatGPT-3.5, ChatGPT-4, Google Bard, and Microsoft Bing to Improve Health Literacy and Communication in Pediatric Populations and Beyond
  92. Visual Environment Assessment for Safe Autonomous Quadrotor Landing
  93. Analyzing Deviations of Dyadic Lines in Fast Hough Transform
  94. The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation
  95. When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
  96. Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization
  97. Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces
  98. Inherently Interpretable Time Series Classification via Multiple Instance Learning
  99. Depth Insight -- Contribution of Different Features to Indoor Single-image Depth Estimation
  100. Match and Locate: low-frequency monocular odometry based on deep feature matching
All 287
  1. Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning
  2. A Novel Neural Network-Based Federated Learning System for Imbalanced and Non-IID Data
  3. Online Optimization for Network Resource Allocation and Comparison with Reinforcement Learning Techniques
  4. On the Overconfidence Problem in Semantic 3D Mapping
  5. Finding Real-World Orbital Motion Laws from Data
  6. SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting
  7. Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network
  8. DeepEMD: A Transformer-based Fast Estimation of the Earth Mover's Distance
  9. Co-data Learning for Bayesian Additive Regression Trees
  10. Towards more Practical Threat Models in Artificial Intelligence Security
  11. Generative AI for Hate Speech Detection: Evaluation and Findings
  12. Xputer: Bridging Data Gaps with NMF, XGBoost, and a Streamlined GUI Experience
  13. Unambiguity and Fewness for Nonuniform Families of Polynomial-Size Nondeterministic Finite Automata
  14. From Pretext to Purpose: Batch-Adaptive Self-Supervised Learning
  15. SurgPLAN: Surgical Phase Localization Network for Phase Recognition
  16. Self-supervised learning of multi-omics embeddings in the low-label, high-data regime
  17. VertDetect: Fully End-to-End 3D Vertebral Instance Segmentation Model
  18. Natural Disaster Analysis using Satellite Imagery and Social-Media Data for Emergency Response Situations
  19. An Attention-Based Denoising Framework for Personality Detection in Social Media Texts
  20. Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection
  21. RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection
  22. A Framework for Monitoring and Retraining Language Models in Real-World Applications
  23. Fast multiplication by two's complement addition of numbers represented as a set of polynomial radix 2 indexes, stored as an integer list for massively parallel computation
  24. Selection of Distinct Morphologies to Divide & Conquer Gigapixel Pathology Images
  25. Classification-based detection and quantification of cross-domain data bias in materials discovery
  26. BrainLLM: Generative Language Decoding from Brain Recordings
  27. Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways
  28. INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
  29. Which Modality should I use -- Text, Motif, or Image? : Understanding Graphs with Large Language Models
  30. ConceptPsy:A Benchmark Suite with Conceptual Comprehensiveness in Psychology
  31. GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets
  32. Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets
  33. Contribution Evaluation in Federated Learning: Examining Current Approaches
  34. SurvTimeSurvival: Survival Analysis On The Patient With Multiple Visits/Records
  35. Strategic Coordination of Drones via Short-term Distributed Optimization and Long-term Reinforcement Learning
  36. Urban traffic congestion control: a DeePC change
  37. Rusty Detection Using Image Processing For Maintenance Of Stations
  38. Diffusion-Augmented Neural Processes
  39. Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model
  40. GroupMixer: Patch-based Group Convolutional Neural Network for Breast Cancer Detection from Histopathological Images
  41. Leveraging LLMs in Scholarly Knowledge Graph Question Answering
  42. PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization
  43. Overview of the HASOC Subtrack at FIRE 2023: Identification of Tokens Contributing to Explicit Hate in English by Span Detection
  44. WatME: Towards Lossless Watermarking Through Lexical Redundancy
  45. Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
  46. FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Models
  47. AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages
  48. Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks
  49. PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical Instruments
  50. SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models
  51. Neural-Logic Human-Object Interaction Detection
  52. Large Language Models for Propaganda Span Annotation
  53. Runtime Verification of Learning Properties for Reinforcement Learning Algorithms
  54. Towards Formal Fault Injection for Safety Assessment of Automated Systems
  55. Comparing Differentiable Logics for Learning Systems: A Research Preview
  56. PixT3: Pixel-based Table-To-Text Generation
  57. The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text
  58. EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction
  59. textitDial BeInfo for Faithfulness: Improving Factuality of Information-Seeking Dialogue via Behavioural Fine-Tuning
  60. How Far Can We Extract Diverse Perspectives from Large Language Models?
  61. Interpreting User Requests in the Context of Natural Language Standing Instructions
  62. Fossil 2.0: Formal Certificate Synthesis for the Verification and Control of Dynamical Models
  63. Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting
  64. 3vLTL: A Tool to Generate Automata for Three-valued LTL
  65. Correct-by-Construction Control for Stochastic and Uncertain Dynamical Models via Formal Abstractions
  66. Automatic Generation of Scenarios for System-level Simulation-based Verification of Autonomous Driving Systems
  67. Investigating Data Contamination in Modern Benchmarks for Large Language Models
  68. More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
  69. Model Checking for Closed-Loop Robot Reactive Planning
  70. Certified Control for Train Sign Classification
  71. HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs
  72. To be or not to be? an exploration of continuously controllable prompt engineering
  73. Utilizing dataset affinity prediction in object detection to assess training data
  74. LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores
  75. Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders
  76. MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification
  77. OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking
  78. UFPS: A unified framework for partially-annotated federated segmentation in heterogeneous data distribution
  79. StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based Learning
  80. On the Impact of Calibration Data in Post-training Quantization and Pruning
  81. Translation Aligned Sentence Embeddings for Turkish Language
  82. Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement from Stereoimages
  83. Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks
  84. Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations
  85. Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation
  86. CARE: Extracting Experimental Findings From Clinical Literature
  87. GEO: Generative Engine Optimization
  88. Tracking the Newsworthiness of Public Documents
  89. MOKA: Moral Knowledge Augmentation for Moral Event Extraction
  90. Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources
  91. Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
  92. Sociodemographic Prompting is Not Yet an Effective Approach for Simulating Subjective Judgments with LLMs
  93. MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations
  94. You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments
  95. Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning
  96. The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics
  97. A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection
  98. GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding
  99. Towards Autonomous Hypothesis Verification via Language Models with Minimal Guidance
  100. Fumbling in Babel: An Investigation into ChatGPT's Language Identification Ability
  101. Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness
  102. BLT: Can Large Language Models Handle Basic Legal Text?
  103. Augmenting Unsupervised Reinforcement Learning with Self-Reference
  104. CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs
  105. Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversies
  106. Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation
  107. Modelling daily mobility using mobile data traffic at fine spatiotemporal scale
  108. MacGyver: Are Large Language Models Creative Problem Solvers?
  109. Trustworthy Large Models in Vision: A Survey
  110. R-Tuning: Instructing Large Language Models to Say `I Don't Know'
  111. Where Do People Tell Stories Online? Story Detection Across Online Communities
  112. Generalization Bounds for Robust Contrastive Learning: From Theory to Practice
  113. Zenkai -- Framework For Exploring Beyond Backpropagation
  114. Evolving Domain Adaptation of Pretrained Language Models for Text Classification
  115. Multi-View Spectrogram Transformer for Respiratory Sound Classification
  116. Improved TokenPose with Sparsity
  117. Event-based Motion-Robust Accurate Shape Estimation for Mixed Reflectance Scenes
  118. "It's not like Jarvis, but it's pretty close!" -- Examining ChatGPT's Usage among Undergraduate Students in Computer Science
  119. ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification
  120. Event Causality Is Key to Computational Story Understanding
  121. Reconstructing Continuous Light Field From Single Coded Image
  122. Weakly Supervised Anomaly Detection for Chest X-Ray Image
  123. On the Quantification of Image Reconstruction Uncertainty without Training Data
  124. Evaluating In-Context Learning of Libraries for Code Generation
  125. Online Continual Knowledge Learning for Language Models
  126. Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach
  127. Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination
  128. AI Recommendation System for Enhanced Customer Experience: A Novel Image-to-Text Method
  129. Apoptosis classification using attention based spatio temporal graph convolution neural network
  130. GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
  131. Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning
  132. On Retrieval Augmentation and the Limitations of Language Model Training
  133. Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analyses
  134. Digital Socrates: Evaluating LLMs through Explanation Critiques
  135. Efficient End-to-End Visual Document Understanding with Rationale Distillation
  136. Multi-Task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans
  137. GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
  138. Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
  139. Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion
  140. Code Models are Zero-shot Precondition Reasoners
  141. Gradual Source Domain Expansion for Unsupervised Domain Adaptation
  142. Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs
  143. Multi-Step Dialogue Workflow Action Prediction
  144. Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization
  145. MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images
  146. LifeTox: Unveiling Implicit Toxicity in Life Advice
  147. DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation
  148. MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts
  149. Crafting In-context Examples according to LMs' Parametric Knowledge
  150. Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying
  151. Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation
  152. Work State-Centric AI Agents: Design, Implementation, and Management of Cognitive Work Threads
  153. LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype
  154. 3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation
  155. Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation
  156. LongBoX: Evaluating Transformers on Long-Sequence Clinical Tasks
  157. TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction
  158. Prompt-based Pseudo-labeling Strategy for Sample-Efficient Semi-Supervised Extractive Summarization
  159. What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception
  160. Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
  161. A Speed Odyssey for Deployable Quantization of LLMs
  162. Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta
  163. Temporal-Aware Refinement for Video-based Human Pose and Shape Recovery
  164. Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering
  165. FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusion
  166. Reducing Privacy Risks in Online Self-Disclosures with Language Models
  167. Effective Large Language Model Adaptation for Improved Grounding and Citation Generation
  168. HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM
  169. AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation
  170. MDFL: Multi-domain Diffusion-driven Feature Learning
  171. Leveraging Code to Improve In-context Learning for Semantic Parsing
  172. GEE! Grammar Error Explanation with Large Language Models
  173. Know Thy Neighbors: A Graph Based Approach for Effective Sensor-Based Human Activity Recognition in Smart Homes
  174. Identifying Systems with Symmetries using Equivariant Autoregressive Reservoir Computers
  175. Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning
  176. SegMix: A Simple Structure-Aware Data Augmentation Method
  177. SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU
  178. Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation
  179. Center Focusing Network for Real-Time LiDAR Panoptic Segmentation
  180. Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning Approach
  181. Spatial Bayesian Neural Networks
  182. Adaptive Interventions with User-Defined Goals for Health Behavior Change
  183. Personalized Jargon Identification for Enhanced Interdisciplinary Communication
  184. Show Your Work with Confidence: Confidence Bands for Tuning Curves
  185. Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs
  186. Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation
  187. Soft Matching Distance: A metric on neural representations that captures single-neuron tuning