Papers

New on arXiv

Sat 22 Feb 2025

168 papers

Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification InferenceLLM reasoning → Reasoning for agents, planning and code
A Comprehensive Survey of Machine Unlearning Techniques for Large Language ModelsLLM safety and security → Machine unlearning
Securing Smart Contract Languages with a Unified Agentic Framework for Vulnerability Repair in Solidity and MoveLLM agents and tool use → Agent threats, guardrails and governance
FCoT-VL:Advancing Text-oriented Large Vision-Language Models with Efficient Visual Token CompressionMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual RecognitionKnowledge distillation → General knowledge distillation methods +1
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational AgentsLLM agents and tool use → Agent threats, guardrails and governance
A Survey on Mechanistic Interpretability for Multi-Modal Foundation ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
Towards User-level Private Reinforcement Learning with Human FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
SAE-V: Interpreting Multimodal Models for Enhanced AlignmentMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
C2-DPO: Constrained Controlled Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
RAG-Enhanced Collaborative LLM Agents for Drug DiscoveryLLM agents and tool use → Medical and scientific domain agents
Concept Corrector: Erase concepts on the fly for text-to-image diffusion modelsDiffusion models → Robustness, privacy and adversarial aspects
A Framework for Evaluating Vision-Language Model Safety: Building Trust in AI for Public Sector ApplicationsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
Exploring Sentiment Manipulation by LLM-Enabled Intelligent Trading AgentsLLM agents and tool use → Financial trading and forecasting agents
Optimal Transport-Guided Safety in Temporal Difference Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
Direct Alignment with Heterogeneous PreferencesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
DualNeRF: Text-Driven 3D Scene Editing via Dual-Field RepresentationDiffusion models → 3D, point cloud and scene generation
Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome PredictionSynthetic data and self-improvement for LLMs → LLM synthetic data generation
ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation
Dynamic Parallel Tree Search for Efficient LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
Learning Humanoid Locomotion with World Model ReconstructionWorld models → Humanoid and legged locomotion world models
Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detectionMultimodal LLMs / vision-language models → Medical vision-language models
SalM2: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver AttentionState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
Improving Speech Enhancement by Cross- and Sub-band Processing with State Space ModelState-space sequence models (S4, Mamba) → Speech and audio SSMs
An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement LearningMixture-of-experts → MoE in reinforcement learning and robotics
Statistical Inference in Reinforcement Learning: A Selective SurveyDeep reinforcement learning methods → Deep RL algorithms and representations
IPO: Your Language Model is Secretly a Preference ClassifierLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
Efficient LLM Moderation with Multi-Layer Latent PrototypesLLM safety and security → Safety alignment, refusal and guardrails
EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy ObservationsLLM reasoning → Reasoning benchmarks and evaluation
PersGuard: Preventing Malicious Personalization in Text-to-Image Diffusion Models via Model BackdoorsDiffusion models → Robustness, privacy and adversarial aspects +1
OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
Chain-of-Description: What I can understand, I can put into wordsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem SolvingLLM reasoning → Reasoning for agents, planning and code
Be a Multitude to Itself: A Prompt Evolution Framework for Red TeamingLLM safety and security → Prompt injection and agent security
Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading RetrievalsRetrieval-augmented generation → RAG robustness and adaptive retrieval
Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-trained Language ModelsRetrieval-augmented generation → RAG for code
Curie: Toward Rigorous and Automated Scientific Experimentation with AI AgentsLLM agents and tool use → Web, search, and research agents
Human-AI Collaboration in Cloud Security: Cognitive Hierarchy-Driven Deep Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning ModelsLLM reasoning → Multimodal reasoning +1
A Brain-Inspired Perception-Decision Driving Model Based on Neural Pathway Anatomical AlignmentEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
AIBrix: Towards Scalable, Cost-Effective Large Language Model Inference Infrastructure
Integrating Personality into Digital Humans: A Review of LLM-Driven Approaches for Virtual Reality
Text2Zinc: A Cross-Domain Dataset for Modeling Optimization and Satisfaction Problems in MiniZinc
ADAPT Centre Contribution on Implementation of the EU AI Act and Fundamental Right Protection
Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models
SEAFL: Enhancing Efficiency in Semi-Asynchronous Federated Learning through Adaptive Aggregation and Selective Training
Examining the Dynamics of Local and Transfer Passenger Share Patterns in Air Transportation
Exploring AI Writers: Technology, Impact, and Future Prospects
Function-Coherent Gambles with Non-Additive Sequential Dynamics
Function-coherent gambles
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data
Multi-objective Cat Swarm Optimization Algorithm based on a Grid System
CipherFace: A Fully Homomorphic Encryption-Driven Framework for Secure Cloud-Based Facial Recognition
Analyzing User Perceptions of Large Language Models (LLMs) on Reddit: Sentiment and Topic Modeling of ChatGPT and DeepSeek Discussions
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming
Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification
BottleHumor: Self-Informed Humor Explanation using the Information Bottleneck Principle
Int2Int: a framework for mathematics with transformers
Learning multi-phase flow and transport in fractured porous media with auto-regressive and recurrent graph neural networks
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
Toward a Flexible Framework for Linear Representation Hypothesis Using Maximum Likelihood Estimation
Understanding Fixed Predictions via Confined Regions
Auto-ADMET: An Effective and Interpretable AutoML Method for Chemical ADMET Property Prediction
Instruction-Tuning LLMs for Event Extraction with Annotation Guidelines
Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces
Personhood Credentials: Human-Centered Design Recommendation Balancing Security, Usability, and Trust
Software defined demodulation of multiple frequency shift keying with dense neural network for weak signal communications
A Generative Approach to LLM Harmfulness Mitigation with Red Flag Tokens
Audio Visual Segmentation Through Text Embeddings
Wrong Answers Can Also Be Useful: PlausibleQA -- A Large-Scale QA Dataset with Answer Plausibility Scores
LegalBench.PT: A Benchmark for Portuguese Law
Monotonicity Testing of High-Dimensional Distributions with Subcube Conditioning
Verifying Classification with Limited Disclosure
AquaNeRF: Neural Radiance Fields in Underwater Media with Distractor Removal
Machine Learning-Based Cloud Computing Compliance Process Automation
Revealing Microscopic Objects in Fluorescence Live Imaging by Video-to-video Translation Based on A Spatial-temporal Generative Adversarial Network
Dynamic Coalition Structure Detection in Natural Language-based Interactions
Rectifying Conformity Scores for Better Conditional Coverage
A Gap Between the Gaussian RKHS and Neural Networks: An Infinite-Center Asymptotic Analysis
Generalization is not a universal guarantee: Estimating similarity to training data with an ensemble out-of-distribution metric
Deep Time Warping for Multiple Time Series Alignment
Iterative Auto-Annotation for Scientific Named Entity Recognition Using BERT-Based Models
Pointmap Association and Piecewise-Plane Constraint for Consistent and Compact 3D Gaussian Segmentation Field
A calibration test for evaluating set-based epistemic uncertainty representations
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
The Design Space of Recent AI-assisted Research Tools for Ideation, Sensemaking, and Scientific Creativity
Interrogating LLM design under a fair learning doctrine
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks
Verification of Bit-Flip Attacks against Quantized Neural Networks
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
Understanding the Emergence of Multimodal Representation Alignment
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths
Beyond Trusting Trust: Multi-Model Validation for Robust Code Generation
Fine-Tuning Qwen 2.5 3B for Realistic Movie Dialogue Generation
PLS-based approach for fair representation learning

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