Papers
Sun 16 Feb 2025
204 papers
- Deep Reinforcement Learning-Based Bidding Strategies for Prosumers Trading in Double Auction-Based Transactive Energy MarketDeep reinforcement learning methods → RL for energy, networks and operations
- Learning to Reason from Feedback at Test-TimeLLM reasoning → Test-time compute and efficient thinking
- Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Vision-Enhanced Time Series Forecasting via Latent Diffusion ModelsDiffusion models → Flow matching, time series and science
- ShieldLearner: A New Paradigm for Jailbreak Attack Defense in LLMsLLM safety and security → Jailbreaking
- Attention Mechanism for LLM-based Agents Dynamic Diffusion under Information AsymmetryLLM agents and tool use → Social simulation and multi-agent debate
- To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code +1
- Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based ControlLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- AI Generations: From AI 1.0 to AI 4.0LLM agents and tool use → General LLM agent frameworks and benchmarks
- Smoothing Out Hallucinations: Mitigating LLM Hallucination with Smoothed Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- CORDIAL: Can Multimodal Large Language Models Effectively Understand Coherence Relationships?LLM reasoning → Multimodal reasoning +1
- Dialogue-based Explanations for Logical Reasoning using Structured ArgumentationLLM reasoning → Reasoning benchmarks and evaluation
- Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based FinetuningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- OctoTools: An Agentic Framework with Extensible Tools for Complex ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Improved Unbiased Watermark for Large Language ModelsLLM safety and security → Watermarking generated content and models
- Scalable Multi-Agent Offline Reinforcement Learning and the Role of InformationOffline RL and imitation learning from data → Offline multi-agent RL
- Uncertainty-Aware Step-wise Verification with Generative Reward ModelsLLM reasoning → Reinforcement learning for reasoning +1
- Soteria: Language-Specific Functional Parameter Steering for Multilingual Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- LLMs and Childhood Safety: Identifying Risks and Proposing a Protection Framework for Safe Child-LLM InteractionLLM safety and security → Safety alignment, refusal and guardrails
- Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- A Survey of LLM-based Agents in Medicine: How far are we from Baymax?LLM agents and tool use → Medical and scientific domain agents
- CSP: A Simulator For Multi-Agent Ranking CompetitionsLLM agents and tool use → Web, search, and research agents
- Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM TrainingKnowledge distillation → Knowledge distillation for LLMs
- ReLearn: Unlearning via Learning for Large Language ModelsLLM safety and security → Machine unlearning
- Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration PitfallsLLM reasoning → Test-time compute and efficient thinking
- RT-DEMT: A hybrid real-time acupoint detection model combining mamba and transformerState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- DA-Mamba: Domain Adaptive Hybrid Mamba-Transformer Based One-Stage Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Investigating Language Preference of Multilingual RAG SystemsRetrieval-augmented generation → Generation and context integration
- CMCTS: A Constrained Monte Carlo Tree Search Framework for Mathematical Reasoning in Large Language ModelLLM reasoning → Mathematical reasoning
- Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance AnalysisLLM reasoning → Reasoning benchmarks and evaluation
- AI Sees Your Location, But With A Bias Toward The Wealthy WorldMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Dyve: Thinking Fast and Slow for Dynamic Process VerificationLLM reasoning → Test-time compute and efficient thinking
- Robust Search with Uncertainty-Aware Value Models for Language Model ReasoningLLM reasoning → Test-time compute and efficient thinking
- RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLMRetrieval-augmented generation → Multimodal RAG
- Automated Visualization Code Synthesis via Multi-Path Reasoning and Feedback-Driven OptimizationLLM reasoning → Multimodal reasoning
- Safety Evaluation of DeepSeek Models in Chinese ContextsLLM reasoning → Reasoning for agents, planning and code
- Solving Online Resource-Constrained Scheduling for Follow-Up Observation in Astronomy: a Reinforcement Learning ApproachDeep reinforcement learning methods → RL for robot navigation and UAV control
- MasRouter: Learning to Route LLMs for Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- FELLE: Autoregressive Speech Synthesis with Token-Wise Coarse-to-Fine Flow MatchingDiffusion models → Audio, speech and music
- G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- DuplexMamba: Enhancing Real-time Speech Conversations with Duplex and Streaming CapabilitiesState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Gumbel Reranking: Differentiable End-to-End Reranker OptimizationRetrieval-augmented generation → Generation and context integration
- Knowledge Graph-Driven Retrieval-Augmented Generation: Integrating Deepseek-R1 with Weaviate for Advanced Chatbot ApplicationsRetrieval-augmented generation → Medical and biomedical RAG
- Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical MappingKnowledge distillation → Knowledge distillation for LLMs
- OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization ModelingSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- CacheFocus: Dynamic Cache Re-Positioning for Efficient Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Mixture of Tunable Experts -- Behavior Modification of DeepSeek-R1 at Inference TimeLLM reasoning → Test-time compute and efficient thinking +1
- SafeDialBench: A Fine-Grained Safety Evaluation Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak AttacksLLM safety and security → Jailbreaking
- Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness InstructionLLM safety and security → Jailbreaking
- Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based TasksRetrieval-augmented generation → Agentic RAG, agents and memory
- Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable DecisionsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language ModelsMixture-of-experts → MoE for time series and graphs
- Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
- MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- RLHF in an SFT Way: From Optimal Solution to Reward-Weighted AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- GRIFFIN: Effective Token Alignment for Faster Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Collaborative Deterministic-Probabilistic Forecasting for Diverse Spatiotemporal SystemsDiffusion models → Flow matching, time series and science
- CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language ModelsLLM reasoning → Causal reasoning in LLMs
- Prompt Inject Detection with Generative Explanation as an Investigative ToolLLM safety and security → Prompt injection and agent security
- ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font AnnotationsDiffusion models → Image generation, text-to-image and editing
- RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference OptimizationRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- Agentic LLM Framework for Adaptive Decision DiscourseLLM agents and tool use → Social simulation and multi-agent debate
- QuOTE: Question-Oriented Text EmbeddingsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Skillful Nowcasting of Convective Clouds With a Cascade Diffusion ModelDiffusion models → Flow matching, time series and science
- Learning to Stop Overthinking at Test TimeLLM reasoning → Test-time compute and efficient thinking
- PEA: Enhancing LLM Performance on Computational-Reasoning TasksLLM reasoning → Reasoning benchmarks and evaluation
- SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human InterventionLLM agents and tool use → Social simulation and multi-agent debate
- IterQR: An Iterative Framework for LLM-based Query Rewrite in e-Commercial Search System
- Conversational Explanations: Discussing Explainable AI with Non-AI Experts
- Practical Topics in Optimization
- The Butterfly Effect of Technology: How Various Factors accelerate or hinder the Arrival of Technological Singularity
- Generating Millions Of Lean Theorems With Proofs By Exploring State Transition Graphs
- ECG-Expert-QA: A Benchmark for Evaluating Medical Large Language Models in Heart Disease Diagnosis
- JExplore: Design Space Exploration Tool for Nvidia Jetson Boards
- Rashomon perspective for measuring uncertainty in the survival predictive maintenance models
- Performance Review on LLM for solving leetcode problems
- WeedVision: Multi-Stage Growth and Classification of Weeds using DETR and RetinaNet for Precision Agriculture
- Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability
- Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review
- Noumenal Labs White Paper: How To Build A Brain
- PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN
- Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?
- Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration
- An Interpretable Automated Mechanism Design Framework with Large Language Models
- Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product
- Generalized Factor Neural Network Model for High-dimensional Regression
- ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment and Generation
- Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection
- Non-Uniform Memory Sampling in Experience Replay
- Leveraging Multimodal-LLMs Assisted by Instance Segmentation for Intelligent Traffic Monitoring
- Integrating Language Models for Enhanced Network State Monitoring in DRL-Based SFC Provisioning
- Game-Of-Goals: Using adversarial games to achieve strategic resilience
- MC-BEVRO: Multi-Camera Bird Eye View Road Occupancy Detection for Traffic Monitoring
- Neural Operators for Stochastic Modeling of Nonlinear Structural System Response to Natural Hazards
- The Rotary Position Embedding May Cause Dimension Inefficiency in Attention Heads for Long-Distance Retrieval
- Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's Nest
All 204
- FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Labor Organizers
- Unlocking the Potential of Generative AI through Neuro-Symbolic Architectures: Benefits and Limitations
- Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent
- The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models
- Towards Automatic Identification of Missing Tissues using a Geometric-Learning Correspondence Model
- Generating Skyline Datasets for Data Science Models
- Exploiting network optimization stability for enhanced PET image denoising using deep image prior
- Leveraging Conditional Mutual Information to Improve Large Language Model Fine-Tuning For Classification
- Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View
- Explaining Necessary Truths
- MemeSense: An Adaptive In-Context Framework for Social Commonsense Driven Meme Moderation
- Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
- Towards identifying possible fault-tolerant advantage of quantum linear system algorithms in terms of space, time and energy
- Span-Agnostic Optimal Sample Complexity and Oracle Inequalities for Average-Reward RL
- MaskFlow: Discrete Flows For Flexible and Efficient Long Video Generation
- Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent
- METAFOR: A Hybrid Metaheuristics Software Framework for Single-Objective Continuous Optimization Problems
- Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation
- PlanGenLLMs: A Modern Survey of LLM Planning Capabilities
- Stochastic Optimization of Inventory at Large-scale Supply Chains
- Deep Contrastive Learning for Feature Alignment: Insights from Housing-Household Relationship Inference
- Multiscale autonomous forecasting of plasma systems' dynamics using neural networks
- Bridging the Gap: Enabling Natural Language Queries for NoSQL Databases through Text-to-NoSQL Translation
- ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition
- How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
- From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias
- Large Language Models Penetration in Scholarly Writing and Peer Review
- TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking
- Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
- The Mirage of Model Editing: Revisiting Evaluation in the Wild
- Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems
- Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding
- SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors
- Logarithmic Width Suffices for Robust Memorization
- BFA: Best-Feature-Aware Fusion for Multi-View Fine-grained Manipulation
- AnyRefill: A Unified, Data-Efficient Framework for Left-Prompt-Guided Vision Tasks
- Physics-Informed Support Vector Kernels via Green-Function Analogies and Jackson-Chebyshev Spectral Design
- Error Bound Analysis for the Regularized Loss of Deep Linear Neural Networks
- Eye Tracking Based Cognitive Evaluation of Automatic Readability Assessment Methods
- Large Language-Geometry Model: When LLM meets Equivariance
- Cognitive Neural Architecture Search Reveals Hierarchical Entailment
- Machine Learning-Based Intrusion Detection and Prevention System for IIoT Smart Metering Networks: Challenges and Solutions
- UNITE-FND: Reframing Multimodal Fake News Detection through Unimodal Scene Translation
- Improving Similar Case Retrieval Ranking Performance By Revisiting RankSVM
- AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
- Hierarchical Expert Prompt for Large-Language-Model: An Approach Defeat Elite AI in TextStarCraft II for the First Time
- Are Generative Models Underconfident? Better Quality Estimation with Boosted Model Probability
- Beyond Pairwise: Global Zero-shot Temporal Graph Generation
- Valuable Hallucinations: Realizable Non-realistic Propositions
- Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL
- Graceful forgetting: Memory as a process
- Towards Achieving Concept Completeness for Textual Concept Bottleneck Models
- A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions
- SyncSpeech: Efficient and Low-Latency Text-to-Speech based on Temporal Masked Transformer
- Text-Promptable Propagation for Referring Medical Image Sequence Segmentation
- Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
- On the Importance of Pretraining Data Alignment for Atomic Property Prediction
- Phantom: Subject-consistent video generation via cross-modal alignment
- DEEPER Insight into Your User: Directed Persona Refinement for Dynamic Persona Modeling
- Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models
- Generalization of the Gibbs algorithm with high probability at low temperatures
- A Survey on Vulnerability Prioritization: Taxonomy, Metrics, and Research Challenges
- MAnchors: Memorization-Based Acceleration of Anchors via Rule Reuse and Transformation
- A Survey on Active Feature Acquisition Strategies
- CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment
- Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection
- D'ej`a Vu? Decoding Repeated Reading from Eye Movements
- A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems
- Faces of Fairness: Examining Bias in Facial Expression Recognition Datasets and Models
- Detecting Cadastral Boundary from Satellite Images Using U-Net model
- Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs
- AdaGC: Enhancing LLM Pretraining Stability via Adaptive Gradient Clipping
- Convergence of Policy Mirror Descent Beyond Compatible Function Approximation
- A Critical Review of Predominant Bias in Neural Networks
- Mind the Confidence Gap: Overconfidence, Calibration, and Distractor Effects in Large Language Models
- On the Effect of Sampling Diversity in Scaling LLM Inference
- TPCap: Unlocking Zero-Shot Image Captioning with Trigger-Augmented and Multi-Modal Purification Modules
- DT4ECG: A Dual-Task Learning Framework for ECG-Based Human Identity Recognition and Human Activity Detection
- MultiTEND: A Multilingual Benchmark for Natural Language to NoSQL Query Translation
- Leveraging Uncertainty Estimation for Efficient LLM Routing
- TUMLU: A Unified and Native Language Understanding Benchmark for Turkic Languages
- Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
- Device-Cloud Collaborative LLM Inference with Multi-Modal, Multi-Task, Multi-Turn Conversations
- FeaKM: Robust Collaborative Perception under Noisy Pose Conditions
- Adjust Your Focus: Defocus Deblurring From Dual-Pixel Images Using Explicit Multi-Scale Cross-Correlation
- CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
- Improved Regret in Stochastic Decision-Theoretic Online Learning under Differential Privacy
- RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
- Evaluating Large language models on Understanding Korean indirect Speech acts
- SSVEP-BiMA: Bifocal Masking Attention Leveraging Native and Symmetric-Antisymmetric Components for Robust SSVEP Decoding
- FinMTEB: Finance Massive Text Embedding Benchmark
- OMG: Opacity Matters in Material Modeling with Gaussian Splatting
- Is Elo Rating Reliable? A Study Under Model Misspecification
- TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction
- GS-GVINS: A Tightly-integrated GNSS-Visual-Inertial Navigation System Augmented by 3D Gaussian Splatting
- Akan Cinematic Emotions (ACE): A Multimodal Multi-party Dataset for Emotion Recognition in Movie Dialogues
- Neural Networks Remember More: The Power of Parameter Isolation and Combination
- Graders should cheat: privileged information enables expert-level automated evaluations
- A recurrent vision transformer shows signatures of primate visual attention
- Empirical evaluation of LLMs in predicting fixes of Configuration bugs in Smart Home System
- Learning the Exact Time Integration Algorithm for Initial Value Problems by Randomized Neural Networks
- The Relationship between No-Regret Learning and Online Conformal Prediction
- Exploring Contextual Flux in Large Language Models: A Novel Approach to Self-Modulating Semantic Networks
- CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation