mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 24 Oct 2023

307 papers

  1. Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking CompetitionLLM safety and security → Prompt injection and agent security
  2. From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  3. Knowledge Editing for Large Language Models: A SurveyLLM reasoning → Knowledge- and tool-augmented reasoning
  4. Yin Yang Convolutional Nets: Image Manifold Extraction by the Analysis of OppositesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  5. Clinfo.ai: An Open-Source Retrieval-Augmented Large Language Model System for Answering Medical Questions using Scientific LiteratureRetrieval-augmented generation → Medical and biomedical RAG
  6. RePoseDM: Recurrent Pose Alignment and Gradient Guidance for Pose Guided Image SynthesisDiffusion models → 3D, point cloud and scene generation
  7. CPSeg: Finer-grained Image Semantic Segmentation via Chain-of-Thought Language PromptingLLM reasoning → Multimodal reasoning
  8. MuSR: Testing the Limits of Chain-of-thought with Multistep Soft ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  9. AI Alignment and Social Choice: Fundamental Limitations and Policy ImplicationsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  10. Woodpecker: Hallucination Correction for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  11. What's Left? Concept Grounding with Logic-Enhanced Foundation ModelsLLM reasoning → Multimodal reasoning +1
  12. Towards Perceiving Small Visual Details in Zero-shot Visual Question Answering with Multimodal LLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  13. Finetuning Offline World Models in the Real WorldWorld models → Latent dynamics models and model-based RL
  14. Human-in-the-Loop Task and Motion Planning for Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  15. Mixture of Tokens: Continuous MoE through Cross-Example AggregationMixture-of-experts → Vision mixture-of-experts
  16. Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-EnsemblesDiffusion models → Medical imaging and segmentation
  17. Language-driven Scene Synthesis using Multi-conditional Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  18. STRIDE: Structure and Embedding Distillation with Attention for Graph Neural NetworksKnowledge distillation → Graph neural network distillation
  19. Self-Guard: Empower the LLM to Safeguard ItselfLLM safety and security → Jailbreaking
  20. A Comparative Study of Variational Autoencoders, Normalizing Flows, and Score-based Diffusion Models for Electrical Impedance TomographyDiffusion models → Inverse problems and image restoration
  21. Discriminator Guidance for Autoregressive Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  22. Good Better Best: Self-Motivated Imitation Learning for noisy DemonstrationsOffline RL and imitation learning from data → Imitation learning methods
  23. Learning From Free-Text Human Feedback -- Collect New Datasets Or Extend Existing Ones?LLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  24. Large Language Models are Temporal and Causal Reasoners for Video Question AnsweringLLM reasoning → Multimodal reasoning
  25. Improving Diffusion Models for ECG Imputation with an Augmented Template PriorDiffusion models → Medical imaging and segmentation
  26. COPR: Continual Learning Human Preference through Optimal Policy RegularizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  27. ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on TextsDiffusion models → Discrete and text diffusion
  28. Multimodal Representations for Teacher-Guided Compositional Visual ReasoningLLM reasoning → Multimodal reasoning
  29. POE: Process of Elimination for Multiple Choice ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  30. TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost ReductionRetrieval-augmented generation → Generation and context integration +1
  31. SteloCoder: a Decoder-Only LLM for Multi-Language to Python Code TranslationMixture-of-experts → MoE large language models
  32. On the Inherent Privacy Properties of Discrete Denoising Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  33. AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizingDiffusion models → Flow matching, time series and science
  34. CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language ModelLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  35. Reinforcement learning based local path planning for mobile robot
  36. Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer
  37. Contextualised Out-of-Distribution Detection using Pattern Identication
  38. AI-enhanced Auto-correction of Programming Exercises: How Effective is GPT-3.5?
  39. CMIP X-MOS: Improving Climate Models with Extreme Model Output Statistics
  40. Combining Deep Learning on Order Books with Reinforcement Learning for Profitable Trading
  41. Design Of Rubble Analyzer Probe Using ML For Earthquake
  42. A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits
  43. NetDistiller: Empowering Tiny Deep Learning via In-Situ Distillation
  44. A Contextualized Real-Time Multimodal Emotion Recognition for Conversational Agents using Graph Convolutional Networks in Reinforcement Learning
  45. SoK: Memorization in General-Purpose Large Language Models
  46. Clinical Decision Support System for Unani Medicine Practitioners
  47. Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut Triggers
  48. DeSIQ: Towards an Unbiased, Challenging Benchmark for Social Intelligence Understanding
  49. A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models
  50. Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce
  51. LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery
  52. Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler
  53. Fine tuning Pre trained Models for Robustness Under Noisy Labels
  54. CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code
  55. Deep Learning Models for Classification of COVID-19 Cases by Medical Images
  56. Speakerly: A Voice-based Writing Assistant for Text Composition
  57. A clustering tool for interrogating finite element models based on eigenvectors of graph adjacency
  58. GlotLID: Language Identification for Low-Resource Languages
  59. ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality
  60. Task Grouping for Automated Multi-Task Machine Learning via Task Affinity Prediction
  61. Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models
  62. Pixel-Level Clustering Network for Unsupervised Image Segmentation
  63. Attention-Based Ensemble Pooling for Time Series Forecasting
  64. On the Foundations of Shortcut Learning
  65. TiC-CLIP: Continual Training of CLIP Models
  66. CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset
  67. Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks
  68. Hierarchical Randomized Smoothing
  69. Performance Tuning for GPU-Embedded Systems: Machine-Learning-based and Analytical Model-driven Tuning Methodologies
  70. ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection from RGB-Thermal Drone Imagery
  71. Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning
  72. ELM Ridge Regression Boosting
  73. Background Summarization of Event Timelines
  74. Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical Insights
  75. Length is a Curse and a Blessing for Document-level Semantics
  76. Efficient deep data assimilation with sparse observations and time-varying sensors
  77. Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images
  78. BLP-2023 Task 2: Sentiment Analysis
  79. Hidden Citations Obscure True Impact in Science
  80. Correction with Backtracking Reduces Hallucination in Summarization
  81. G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation
  82. On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration
  83. iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis
  84. Brainchop: Next Generation Web-Based Neuroimaging Application
  85. MyriadAL: Active Few Shot Learning for Histopathology
  86. Context-aware feature attribution through argumentation
  87. Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations
  88. WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task
  89. Gradient-Free Privacy Leakage in Federated Language Models through Selective Weight Tampering
  90. PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering
  91. A Language Model with Limited Memory Capacity Captures Interference in Human Sentence Processing
  92. Context-aware explainable recommendations over knowledge graphs
  93. Pix2HDR -- A pixel-wise acquisition and deep learning-based synthesis approach for high-speed HDR videos
  94. Subtle Signals: Video-based Detection of Infant Non-nutritive Sucking as a Neurodevelopmental Cue
  95. Can You Follow Me? Testing Situational Understanding in ChatGPT
  96. GenKIE: Robust Generative Multimodal Document Key Information Extraction
  97. Octopus: A Multitask Model and Toolkit for Arabic Natural Language Generation
  98. Online Two-stage Thermal History Prediction Method for Metal Additive Manufacturing of Thin Walls
  99. Anchor Space Optimal Transport as a Fast Solution to Multiple Optimal Transport Problems
  100. 19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics
All 307
  1. Stereoscopic Depth Perception Through Foliage
  2. Alquist 5.0: Dialogue Trees Meet Generative Models. A Novel Approach for Enhancing SocialBot Conversations
  3. NADI 2023: The Fourth Nuanced Arabic Dialect Identification Shared Task
  4. Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos
  5. Compressed representation of brain genetic transcription
  6. Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
  7. Locally Differentially Private Document Generation Using Zero Shot Prompting
  8. Complex Image Generation SwinTransformer Network for Audio Denoising
  9. Decentralized Learning over Wireless Networks with Broadcast-Based Subgraph Sampling
  10. Locally Differentially Private Gradient Tracking for Distributed Online Learning over Directed Graphs
  11. LaksNet: an end-to-end deep learning model for self-driving cars in Udacity simulator
  12. Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy
  13. Deep Feature Registration for Unsupervised Domain Adaptation
  14. Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
  15. Contextual Bandits for Evaluating and Improving Inventory Control Policies
  16. CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial Reports
  17. Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions
  18. FloCoDe: Unbiased Dynamic Scene Graph Generation with Temporal Consistency and Correlation Debiasing
  19. Grid Frequency Forecasting in University Campuses using Convolutional LSTM
  20. Spatial-Temporal Hypergraph Neural Network for Traffic Forecasting
  21. The Hyperdimensional Transform: a Holographic Representation of Functions
  22. Enhancing Traffic Prediction with Learnable Filter Module
  23. Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning
  24. Segue: Side-information Guided Generative Unlearnable Examples for Facial Privacy Protection in Real World
  25. Synthetic Data as Validation
  26. EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation
  27. From Posterior Sampling to Meaningful Diversity in Image Restoration
  28. A Unified, Scalable Framework for Neural Population Decoding
  29. Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark
  30. WebWISE: Web Interface Control and Sequential Exploration with Large Language Models
  31. Instruct and Extract: Instruction Tuning for On-Demand Information Extraction
  32. What Algorithms can Transformers Learn? A Study in Length Generalization
  33. TimewarpVAE: Simultaneous Time-Warping and Representation Learning of Trajectories
  34. ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty
  35. Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations
  36. MLFMF: Data Sets for Machine Learning for Mathematical Formalization
  37. CVPR 2023 Text Guided Video Editing Competition
  38. Integrating View Conditions for Image Synthesis
  39. Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships
  40. WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models
  41. Dissecting In-Context Learning of Translations in GPTs
  42. Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
  43. Geometry-Aware Video Quality Assessment for Dynamic Digital Human
  44. Graph Deep Learning for Time Series Forecasting
  45. Convergence of Sign-based Random Reshuffling Algorithms for Nonconvex Optimization
  46. Data-driven Traffic Simulation: A Comprehensive Review
  47. Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees
  48. Accented Speech Recognition With Accent-specific Codebooks
  49. Constructing and Machine Learning Calabi-Yau Five-folds
  50. NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes
  51. Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection
  52. Weighted Distance Nearest Neighbor Condensing
  53. Representation Learning with Large Language Models for Recommendation
  54. ShARc: Shape and Appearance Recognition for Person Identification In-the-wild
  55. This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models
  56. Combining Behaviors with the Successor Features Keyboard
  57. Online Robust Mean Estimation
  58. E-Sparse: Boosting the Large Language Model Inference through Entropy-based N:M Sparsity
  59. Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words
  60. In-Context Learning Creates Task Vectors
  61. Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID
  62. Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study
  63. Characterizing Mechanisms for Factual Recall in Language Models
  64. Is Probing All You Need? Indicator Tasks as an Alternative to Probing Embedding Spaces
  65. Do Stochastic Parrots have Feelings Too? Improving Neural Detection of Synthetic Text via Emotion Recognition
  66. Neural Collapse in Multi-label Learning with Pick-all-label Loss
  67. YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation
  68. BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT
  69. Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data
  70. State Sequences Prediction via Fourier Transform for Representation Learning
  71. AdaptiX -- A Transitional XR Framework for Development and Evaluation of Shared Control Applications in Assistive Robotics
  72. KirchhoffNet: A Scalable Ultra Fast Analog Neural Network
  73. Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
  74. Topology-aware Debiased Self-supervised Graph Learning for Recommendation
  75. Improving Event Time Prediction by Learning to Partition the Event Time Space
  76. Using Artificial French Data to Understand the Emergence of Gender Bias in Transformer Language Models
  77. Posterior Estimation for Dynamic PET imaging using Conditional Variational Inference
  78. On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms
  79. A Diffusion Weighted Graph Framework for New Intent Discovery
  80. Localizing Anomalies in Critical Infrastructure using Model-Based Drift Explanations
  81. Unnatural language processing: How do language models handle machine-generated prompts?
  82. Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge
  83. One or Two Things We know about Concept Drift -- A Survey on Monitoring Evolving Environments
  84. Rosetta Stone at KSAA-RD Shared Task: A Hop From Language Modeling To Word--Definition Alignment
  85. Generative Language Models Exhibit Social Identity Biases
  86. Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era
  87. DALE: Generative Data Augmentation for Low-Resource Legal NLP
  88. Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation
  89. Improving generalization in large language models by learning prefix subspaces
  90. qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling
  91. SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
  92. Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning
  93. Privacy Protection in MRI Scans Using 3D Masked Autoencoders
  94. MindLLM: Pre-training Lightweight Large Language Model from Scratch, Evaluations and Domain Applications
  95. BLESS: Benchmarking Large Language Models on Sentence Simplification
  96. Analyzing User Characteristics of Hate Speech Spreaders on Social Media
  97. Unpaired MRI Super Resolution with Contrastive Learning
  98. Robust Learning via Conditional Prevalence Adjustment
  99. Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
  100. Do Differences in Values Influence Disagreements in Online Discussions?
  101. Integrating Language Models into Direct Speech Translation: An Inference-Time Solution to Control Gender Inflection
  102. Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation
  103. Analyzing Single Cell RNA Sequencing with Topological Nonnegative Matrix Factorization
  104. RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction
  105. Interpretable Medical Image Classification using Prototype Learning and Privileged Information
  106. Ranking-based Adaptive Query Generation for DETRs in Crowded Pedestrian Detection
  107. Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules
  108. Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion
  109. Ensemble of Task-Specific Language Models for Brain Encoding
  110. AGaLiTe: Approximate Gated Linear Transformers for Online Reinforcement Learning
  111. GNeSF: Generalizable Neural Semantic Fields
  112. Causal Representation Learning Made Identifiable by Grouping of Observational Variables
  113. Solving the flexible job-shop scheduling problem through an enhanced deep reinforcement learning approach
  114. Learning-based Scheduling for Information Accuracy and Freshness in Wireless Networks
  115. Enhancing Biomedical Lay Summarisation with External Knowledge Graphs
  116. Towards Automated Recipe Genre Classification using Semi-Supervised Learning
  117. Graph-based Trajectory Prediction with Cooperative Information
  118. Power-Enhanced Residual Network for Function Approximation and Physics-Informed Inverse Problems
  119. Creating a silver standard for patent simplification
  120. Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning
  121. Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers
  122. Prevalence and prevention of large language model use in crowd work
  123. Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit
  124. Recent Advances in Multi-modal 3D Intelligence: A Comprehensive Survey and Evaluation
  125. How Much Context Does My Attention-Based ASR System Need?
  126. Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection
  127. Expression Syntax Information Bottleneck for Math Word Problems
  128. Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting
  129. Region-controlled Style Transfer
  130. Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks
  131. Breaking of brightness consistency in optical flow with a lightweight CNN network
  132. A Survey on Detection of LLMs-Generated Content
  133. Deceptive Fairness Attacks on Graphs via Meta Learning
  134. Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models
  135. Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework
  136. Light up that Droid! On the Effectiveness of Static Analysis Features against App Obfuscation for Android Malware Detection
  137. Guaranteed Coverage Prediction Intervals with Gaussian Process Regression
  138. CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
  139. Career Path Prediction using Resume Representation Learning and Skill-based Matching
  140. Tips for making the most of 64-bit architectures in langage design, libraries or garbage collection
  141. Contextual Directed Acyclic Graphs
  142. GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection
  143. Machine Translation for Nko: Tools, Corpora and Baseline Results
  144. Using Slisemap to interpret physical data
  145. tagE: Enabling an Embodied Agent to Understand Human Instructions
  146. MUSER: A Multi-View Similar Case Retrieval Dataset
  147. Grasp Multiple Objects with One Hand
  148. Emergent Communication in Interactive Sketch Question Answering
  149. Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression
  150. Facial Data Minimization: Shallow Model as Your Privacy Filter
  151. Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learning
  152. Accelerating Split Federated Learning over Wireless Communication Networks
  153. Identifiable Latent Polynomial Causal Models Through the Lens of Change
  154. VMAF Re-implementation on PyTorch: Some Experimental Results
  155. CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction
  156. Natural Language Processing for Drug Discovery Knowledge Graphs: promises and pitfalls
  157. Visually Grounded Continual Language Learning with Selective Specialization
  158. MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain
  159. I2MD: 3D Action Representation Learning with Inter- and Intra-modal Mutual Distillation
  160. From Oja's Algorithm to the Multiplicative Weights Update Method with Applications
  161. Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series
  162. Unveiling Multilinguality in Transformer Models: Exploring Language Specificity in Feed-Forward Networks
  163. PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network
  164. Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing
  165. Symmetry-preserving graph attention network to solve routing problems at multiple resolutions
  166. Improving Language Models Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary
  167. Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning
  168. Privacy Amplification for Matrix Mechanisms
  169. Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning
  170. MarkQA: A large scale KBQA dataset with numerical reasoning
  171. Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs
  172. Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation
  173. A Joint Matrix Factorization Analysis of Multilingual Representations
  174. KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
  175. Cross-view Self-localization from Synthesized Scene-graphs
  176. TRAMS: Training-free Memory Selection for Long-range Language Modeling
  177. Robust Representation Learning for Unified Online Top-K Recommendation
  178. NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
  179. Salient Object Detection in RGB-D Videos
  180. Interpretable Survival Analysis for Heart Failure Risk Prediction
  181. Continual Event Extraction with Semantic Confusion Rectification
  182. The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks
  183. Empowering Distributed Solutions in Renewable Energy Systems and Grid Optimization
  184. EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification
  185. Interpreting Answers to Yes-No Questions in User-Generated Content
  186. Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuring
  187. UI Layout Generation with LLMs Guided by UI Grammar
  188. Private Learning with Public Features
  189. General Identifiability and Achievability for Causal Representation Learning
  190. An accelerated first-order regularized momentum descent ascent algorithm for stochastic nonconvex-concave minimax problems
  191. DeepIron: Predicting Unwarped Garment Texture from a Single Image
  192. Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks
  193. Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing
  194. K-HATERS: A Hate Speech Detection Corpus in Korean with Target-Specific Ratings
  195. PromptInfuser: How Tightly Coupling AI and UI Design Impacts Designers' Workflows
  196. Off-Policy Evaluation for Large Action Spaces via Policy Convolution
  197. What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations
  198. Beyond Sentiment: Leveraging Topic Metrics for Political Stance Classification
  199. ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles
  200. The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation
  201. G2-MonoDepth: A General Framework of Generalized Depth Inference from Monocular RGB+X Data
  202. FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions
  203. Let the Pretrained Language Models "Imagine" for Short Texts Topic Modeling
  204. Fractal Landscapes in Policy Optimization
  205. Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction
  206. Mind the Gap Between Conversations for Improved Long-Term Dialogue Generation
  207. Diverse Conventions for Human-AI Collaboration