Papers
Sun 15 Jun 2025
165 papers
- Implicit Reward as the Bridge: A Unified View of SFT and DPO ConnectionsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- STRuCT-LLM: Unifying Tabular and Graph Reasoning with Reinforcement Learning for Semantic ParsingLLM reasoning → Knowledge- and tool-augmented reasoning
- From Recognition to Reasoning: Advancing Multimodal Harmful Meme Detection via Chain-of-Thought AlignmentLLM reasoning → Reasoning benchmarks and evaluation +1
- SlimRAG: Retrieval without Graphs via Entity-Aware Context SelectionRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- GTA: Grouped-head latenT AttentionEfficient LLM inference and serving → KV cache optimization
- The Safety Reminder: A Soft Prompt to Reactivate Delayed Safety Awareness in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- textttSPECS: Faster Test-Time Scaling through Speculative DraftsLLM reasoning → Test-time compute and efficient thinking
- Can LLMs Reconcile Knowledge Conflicts in Counterfactual ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Improved Iterative Refinement for Chart-to-Code Generation via Structured InstructionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- The Synthetic Mirror -- Synthetic Data at the Age of Agentic AILLM agents and tool use → Agent threats, guardrails and governance
- SymRAG: Efficient Neuro-Symbolic Retrieval Through Adaptive Query RoutingRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning SkillsLLM reasoning → Reasoning for agents, planning and code +1
- Domain Specific Benchmarks for Evaluating Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- HypER: Literature-grounded Hypothesis Generation and Distillation with ProvenanceLLM reasoning → Knowledge- and tool-augmented reasoning
- SoundMind: RL-Incentivized Logic Reasoning for Audio-Language ModelsLLM reasoning → Audio-language model reasoning
- Scaling Test-time Compute for LLM AgentsLLM reasoning → Test-time compute and efficient thinking +1
- Jailbreak Transferability Emerges from Shared RepresentationsLLM safety and security → Jailbreaking
- Logit Dynamics in Softmax Policy Gradient MethodsDeep reinforcement learning methods → RL theory and sample complexity
- SciDA: Scientific Dynamic Assessor of LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Universal Jailbreak Suffixes Are Strong Attention HijackersLLM safety and security → Jailbreaking
- QFFT, Question-Free Fine-Tuning for Adaptive ReasoningLLM reasoning → Test-time compute and efficient thinking
- EraserDiT: Fast Video Inpainting with Diffusion Transformer ModelDiffusion models → 3D, point cloud and scene generation
- CAPO: Reinforcing Consistent Reasoning in Medical Decision-MakingLLM reasoning → Clinical and biomedical applications
- iDiT-HOI: Inpainting-based Hand Object Interaction Reenactment via Video Diffusion TransformerDiffusion models → Diffusion and flow policies for robotics
- WereWolf-Plus: An Update of Werewolf Game setting Based on DSGBenchLLM reasoning → Reasoning for agents, planning and code +1
- DiffS-NOCS: 3D Point Cloud Reconstruction through Coloring Sketches to NOCS Maps Using Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- LOP: Learning Optimal Pruning for Efficient On-Demand MLLMs ScalingMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- TrojanTO: Action-Level Backdoor Attacks against Trajectory Optimization ModelsOffline RL and imitation learning from data → Offline RL algorithms +1
- Federated Neuroevolution O-RAN: Enhancing the Robustness of Deep Reinforcement Learning xAppsDeep reinforcement learning methods → RL for energy, networks and operations
- Flow-Based Policy for Online Reinforcement LearningDeep reinforcement learning methods → RL with diffusion and flow models
- Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Rethinking Hate Speech Detection on Social Media: Can LLMs Replace Traditional Models?LLM reasoning → Reasoning benchmarks and evaluation
- Revealing the Challenges of Sim-to-Real Transfer in Model-Based Reinforcement Learning via Latent Space ModelingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue ResolutionLLM reasoning → Reasoning for agents, planning and code
- Rethinking DPO: The Role of Rejected Responses in Preference MisalignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model AccelerationVision-language-action models → Efficient VLA inference and adaptation +1
- Strategic Scaling of Test-Time Compute: A Bandit Learning ApproachLLM reasoning → Test-time compute and efficient thinking
- GM-LDM: Latent Diffusion Model for Brain Biomarker Identification through Functional Data-Driven Gray Matter SynthesisDiffusion models → Medical imaging and segmentation
- Multimodal Large Language Models-Enabled UAV Swarm: Towards Efficient and Intelligent Autonomous Aerial SystemsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Serving Large Language Models on Huawei CloudMatrix384Mixture-of-experts → Efficient MoE training and inference systems
- SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt CompressionEfficient LLM inference and serving → Diffusion LLM and MoE inference +1
- NAP-Tuning: Neural Augmented Prompt Tuning for Adversarially Robust Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Flexible Realignment of Language ModelsLLM reasoning → Reasoning benchmarks and evaluation +1
- SciSage: A Multi-Agent Framework for High-Quality Scientific Survey GenerationLLM agents and tool use → Web, search, and research agents
- Alphabet Index Mapping: Jailbreaking LLMs through Semantic DissimilarityLLM safety and security → Jailbreaking
- Evaluating Cell Type Inference in Vision Language Models Under Varying Visual ContextMultimodal LLMs / vision-language models → Medical vision-language models
- Conditional Diffusion Model-Driven Generative Channels for Double RIS-Aided Wireless SystemsDiffusion models → Diffusion for compression and wireless
- 3D Hand Mesh-Guided AI-Generated Malformed Hand Refinement with Hand Pose Transformation via Diffusion ModelDiffusion models → Diffusion and flow policies for robotics
- Goal-based Self-Adaptive Generative Adversarial Imitation Learning (Goal-SAGAIL) for Multi-goal Robotic Manipulation TasksOffline RL and imitation learning from data → Imitation learning methods +1
- Building Trustworthy AI by Addressing its 16+2 Desiderata with Goal-Directed Commonsense ReasoningLLM reasoning → Reasoning for agents, planning and code
- Quantum Inspired Encoding Strategies for Machine Learning Models: Proposing and Evaluating Instance Level, Global Discrete, and Class Conditional Representations
- Data Normalization Strategies for EEG Deep Learning
- Digital Gatekeepers: Exploring Large Language Model's Role in Immigration Decisions
- Recommendation systems in e-commerce applications with machine learning methods
- ContextBench: Modifying Contexts for Targeted Latent Activation
- Hybrid Meta-Learning Framework for Anomaly Forecasting in Nonlinear Dynamical Systems via Physics-Inspired Simulation and Deep Ensembles
- Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing
- The Reflexive Integrated Information Unit: A Differentiable Primitive for Artificial Consciousness
- MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios
- Structured Program Synthesis using LLMs: Results and Insights from the IPARC Challenge
- Reliable Noninvasive Glucose Sensing via CNN-Based Spectroscopy
- Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material
- Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates
- SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models
- Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysis
- Humans, Machine Learning, and Language Models in Union: A Cognitive Study on Table Unionability
- DuoFormer: Leveraging Hierarchical Representations by Local and Global Attention Vision Transformer
- Boundary-Aware Vision Transformer for Angiography Vascular Network Segmentation
- Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation
- Assessing the Role of Data Quality in Training Bilingual Language Models
- Distributional Training Data Attribution: What do Influence Functions Sample?
- Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition
- Constitutive Components for Human-Like Autonomous Artificial Intelligence
- eLog analysis for accelerators: status and future outlook
- Metropolis-Hastings Sampling for 3D Gaussian Reconstruction
- Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence
- CliniDial: A Naturally Occurring Multimodal Dialogue Dataset for Team Reflection in Action During Clinical Operation
- Complexity Scaling Laws for Neural Models using Combinatorial Optimization
- Sectoral Coupling in Linguistic State Space
- Identifying and Investigating Global News Coverage of Critical Events Such as Disasters and Terrorist Attacks
- PINNs Algorithmic Framework for Simulation of Nonlinear Burgers' Type Models
- PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization
- Constraint-Guided Prediction Refinement via Deterministic Diffusion Trajectories
- Variational Learning Finds Flatter Solutions at the Edge of Stability
- KCLNet: Physics-Informed Power Flow Prediction via Constraints Projections
- JEBS: A Fine-grained Biomedical Lexical Simplification Task
- Structure-Preserving Patch Decoding for Efficient Neural Video Representation
- Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language
- Homeostatic Coupling for Prosocial Behavior
- Evolutionary Developmental Biology Can Serve as the Conceptual Foundation for a New Design Paradigm in Artificial Intelligence
- ArgHiTZ at ArchEHR-QA 2025: A Two-Step Divide and Conquer Approach to Patient Question Answering for Top Factuality
- T3S: Think in Thermal Time for Generalizable Crop Mapping from Satellite Image Time Series
- Exploring the Potential of Metacognitive Support Agents for Human-AI Co-Creation
- Silhouette-Driven Instance-Weighted k-means
- MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs
- Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs
- Active Adversarial Noise Suppression for Image Forgery Localization
- Private List Learnability vs. Online List Learnability
All 165
- KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills
- Towards Fine-Grained Emotion Understanding via Skeleton-Based Micro-Gesture Recognition
- VFEFL: Privacy-Preserving Federated Learning against Malicious Clients via Verifiable Functional Encryption
- Transforming Chatbot Text: A Sequence-to-Sequence Approach
- Uncovering Social Network Activity Using Joint User and Topic Interaction
- Fair Bayesian Model-Based Clustering
- HyRet-Change: A hybrid retentive network for remote sensing change detection
- Synesthesia of Machines (SoM)-Enhanced Sub-THz ISAC Transmission for Air-Ground Network
- ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies
- General and Estimable Learning Bound Unifying Covariate and Concept Shifts
- Rethinking Optimization: A Systems-Based Approach to Social Externalities
- Learning Unpaired Image Dehazing with Physics-based Rehazy Generation
- Medical Argument Mining: Exploitation of Scarce Data Using NLI Systems
- PDCNet: a benchmark and general deep learning framework for activity prediction of peptide-drug conjugates
- Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison
- Taking the GP Out of the Loop
- Lyapunov Learning at the Onset of Chaos
- A Review of the Long Horizon Forecasting Problem in Time Series Analysis
- Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises
- Fuzzy Propositional Formulas under the Stable Model Semantics
- MetaEformer: Unveiling and Leveraging Meta-patterns for Complex and Dynamic Systems Load Forecasting
- Predicting Genetic Mutations from Single-Cell Bone Marrow Images in Acute Myeloid Leukemia Using Noise-Robust Deep Learning Models
- Surprise Calibration for Better In-Context Learning
- Resilient-native and Intelligent NextG Systems
- SMPL Normal Map Is All You Need for Single-view Textured Human Reconstruction
- PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling
- Rasterizing Wireless Radiance Field via Deformable 2D Gaussian Splatting
- Semantic-Aware Visual Information Transmission With Key Information Extraction Over Wireless Networks
- LPMLN, Weak Constraints, and P-log
- A large-scale, physically-based synthetic dataset for satellite pose estimation
- Unconstrained Robust Online Convex Optimization
- From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots
- Scene-aware SAR ship detection guided by unsupervised sea-land segmentation
- Solving tricky quantum optics problems with assistance from (artificial) intelligence
- RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control
- Probing Deep into Temporal Profile Makes the Infrared Small Target Detector Much Better
- Base3: a simple interpolation-based ensemble method for robust dynamic link prediction
- On-board Sonar Data Classification for Path Following in Underwater Vehicles using Fast Interval Type-2 Fuzzy Extreme Learning Machine
- Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models
- Hierarchical Group-wise Ranking Framework for Recommendation Models
- AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning
- Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions
- Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer from It?
- Unleashing Diffusion and State Space Models for Medical Image Segmentation
- Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution
- Cross-architecture universal feature coding via distribution alignment
- Learning to Fuse: Modality-Aware Adaptive Scheduling for Robust Multimodal Foundation Models
- On the attainment of the Wasserstein--Cramer--Rao lower bound
- Decentralized Decision Making in Two Sided Manufacturing-as-a-Service Marketplaces
- Efficient multi-view training for 3D Gaussian Splatting
- Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency
- Generative 4D Scene Gaussian Splatting with Object View-Synthesis Priors
- Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?
- Combining Self-attention and Dilation Convolutional for Semantic Segmentation of Coal Maceral Groups
- Effect Decomposition of Functional-Output Computer Experiments via Orthogonal Additive Gaussian Processes
- Large Scalable Cross-Domain Graph Neural Networks for Personalized Notification at LinkedIn
- Unsupervised Contrastive Learning Using Out-Of-Distribution Data for Long-Tailed Dataset
- MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection
- TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting
- Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework
- Get on the Train or be Left on the Station: Using LLMs for Software Engineering Research
- Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence
- Dependent Randomized Rounding for Budget Constrained Experimental Design
- Enhancing Clinical Models with Pseudo Data for De-identification
- SC-SOT: Conditioning the Decoder on Diarized Speaker Information for End-to-End Overlapped Speech Recognition