Papers
Sun 24 Aug 2025
178 papers
- Less Is More: Elevating RAG via Performance-Driven Context CompressionRetrieval-augmented generation → Generation and context integration +1
- FLAIRR-TS -- Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time SeriesLLM agents and tool use → Financial trading and forecasting agents
- LLMs Can't Handle Peer Pressure: Crumbling under Multi-Agent Social InteractionsLLM agents and tool use → Social simulation and multi-agent debate
- LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human DemonstrationsSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?LLM reasoning → Reasoning for agents, planning and code +1
- Benchmarking Retrieval-Augmented Generation Strategies for Large Language Model-Based Travel Mode Choice PredictionRetrieval-augmented generation → RAG for recommendation
- GateTS: Versatile and Efficient Forecasting via Attention-Inspired routed Mixture-of-ExpertsMixture-of-experts → MoE for time series and graphs
- School of Reward Hacks: Hacking harmless tasks generalizes to misaligned behavior in LLMsLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- DinoTwins: Combining DINO and Barlow Twins for Robust, Label-Efficient Vision TransformersKnowledge distillation → General knowledge distillation methods
- T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image GenerationLLM reasoning → Multimodal reasoning
- MoE-Inference-Bench: Performance Evaluation of Mixture of Expert Large Language and Vision ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Bias Amplification in Stable Diffusion's Representation of Stigma Through Skin Tones and Their HomogeneityDiffusion models → Image generation, text-to-image and editing
- ReviBranch: Deep Reinforcement Learning for Branch-and-Bound with Revived TrajectoriesDeep reinforcement learning methods → Deep RL algorithms and representations
- Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and ChallengesOffline RL and imitation learning from data → Robot manipulation imitation learning
- Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong DualityDeep reinforcement learning methods → RL theory and sample complexity
- TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based ModelingLLM reasoning → Reinforcement learning for reasoning +1
- An LLM-LVLM Driven Agent for Iterative and Fine-Grained Image EditingLLM agents and tool use → Multimodal and embodied agents
- TinySR: Pruning Diffusion for Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive DashboardsLLM agents and tool use → Multimodal and embodied agents
- LVLM-Aware Multimodal Retrieval for RAG-Based Medical Diagnosis with General-Purpose ModelsRetrieval-augmented generation → Medical and biomedical RAG
- Agent-Testing Agent: A Meta-Agent for Automated Testing and Evaluation of Conversational AI AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Computational Multi-Agents Society Experiments: Social Modeling Framework Based on Generative AgentsLLM agents and tool use → Social simulation and multi-agent debate
- DiCache: Let Diffusion Model Determine Its Own CacheDiffusion models → Diffusion foundations and sampling
- Agentic AI for Software: thoughts from Software Engineering communityLLM agents and tool use → Software engineering coding agents
- Capturing Legal Reasoning Paths from Facts to Law in Court Judgments using Knowledge GraphsLLM reasoning → Reasoning for agents, planning and code
- Mind the (Language) Gap: Towards Probing Numerical and Cross-Lingual Limits of LVLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Omne-R1: Learning to Reason with Memory for Multi-hop Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- Chinese Court Simulation with LLM-Based Agent SystemLLM agents and tool use → Social simulation and multi-agent debate
- AdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model RepresentationsMechanistic interpretability → SAE features and their applications
- Handling Students Dropouts in an LLM-driven Interactive Online Course Using Language ModelsLLM agents and tool use → Educational agents and math problem solving
- FoundDiff: Foundational Diffusion Model for Generalizable Low-Dose CT DenoisingDiffusion models → Medical imaging and segmentation
- Explain Before You Answer: A Survey on Compositional Visual ReasoningLLM reasoning → Multimodal reasoning
- Meta-R1: Empowering Large Reasoning Models with MetacognitionLLM reasoning → Test-time compute and efficient thinking
- MEENA (PersianMMMU): Multimodal-Multilingual Educational Exams for N-level AssessmentMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- From Language to Action: A Review of Large Language Models as Autonomous Agents and Tool UsersLLM agents and tool use → General LLM agent frameworks and benchmarks
- AdaGAT: Adaptive Guidance Adversarial Training for the Robustness of Deep Neural NetworksKnowledge distillation → Federated, robust and private distillation
- Federated Reinforcement Learning for Runtime Optimization of AI Applications in Smart EyewearsDeep reinforcement learning methods → RL for energy, networks and operations
- Are You Sure You're Positive? Consolidating Chain-of-Thought Agents with Uncertainty Quantification for Aspect-Category Sentiment AnalysisLLM reasoning → Audio-language model reasoning
- Routing Distilled Knowledge via Mixture of LoRA Experts for Large Language Model based Bundle GenerationKnowledge distillation → Knowledge distillation for LLMs
- Uncovering and Mitigating Destructive Multi-Embedding Attacks in Deepfake Proactive ForensicsLLM safety and security → Watermarking generated content and models
- CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Module-Aware Parameter-Efficient Machine Unlearning on TransformersLLM safety and security → Machine unlearning
- 4D Visual Pre-training for Robot LearningDiffusion models → Diffusion and flow policies for robotics
- Multi-Metric Preference Alignment for Generative Speech RestorationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- SSFO: Self-Supervised Faithfulness Optimization for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- Exposing Privacy Risks in Graph Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- TokenLake: A Unified Segment-level Prefix Cache Pool for Fine-grained Elastic Long-Context LLM ServingEfficient LLM inference and serving → KV cache optimization
- How to make Medical AI Systems safer? Simulating Vulnerabilities, and Threats in Multimodal Medical RAG SystemMultimodal LLMs / vision-language models → Medical vision-language models +1
- Reinforcement Learning enhanced Online Adaptive Clinical Decision Support via Digital Twin powered Policy and Treatment Effect optimized RewardDeep reinforcement learning methods → RL for clinical treatment and surgery
- Multi-Agent Visual-Language Reasoning for Comprehensive Highway Scene UnderstandingLLM reasoning → Chain-of-thought reasoning for driving +2
- From reactive to cognitive: brain-inspired spatial intelligence for embodied agentsLLM agents and tool use → Multimodal and embodied agents
- BudgetThinker: Empowering Budget-aware LLM Reasoning with Control TokensLLM reasoning → Test-time compute and efficient thinking
- PosterGen: Aesthetic-Aware Multi-Modal Paper-to-Poster Generation via Multi-Agent LLMsLLM agents and tool use → Multimodal and embodied agents
- Linear Dynamics meets Linear MDPs: Closed-Form Optimal Policies via Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Towards Alignment-Centric Paradigm: A Survey of Instruction Tuning in Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- LLM Assertiveness can be Mechanistically Decomposed into Emotional and Logical ComponentsMechanistic interpretability → Probing deception, bias and beliefs
- MaRVL-QA: A Benchmark for Mathematical Reasoning over Visual LandscapesLLM reasoning → Spatial and embodied reasoning +1
- Impact of Neuron Models on Spiking Neural Networks performance. A Complexity Based Classification Approach
- Association of Timing and Duration of Moderate-to-Vigorous Physical Activity with Cognitive Function and Brain Aging: A Population-Based Study Using the UK Biobank
- Speech-Based Cognitive Screening: A Systematic Evaluation of LLM Adaptation Strategies
- The Lifecycle Principle: Stabilizing Dynamic Neural Networks with State Memory
- Applying Deep Learning to Anomaly Detection of Russian Satellite Activity for Indications Prior to Military Activity
- Adaptive Physics-Informed Neural Networks with Multi-Category Feature Engineering for Hydrogen Sorption Prediction in Clays, Shales, and Coals
- Teaching AI to Remember: Insights from Brain-Inspired Replay in Continual Learning
- Exploring and Reshaping the Weight Distribution in LLM
- Performance is not All You Need: Sustainability Considerations for Algorithms
- Normalisation of SWIFT Message Counterparties with Feature Extraction and Clustering
- Improving Liver Disease Diagnosis with SNNDeep: A Custom Spiking Neural Network Using Diverse Learning Algorithms
- Towards Better Correctness and Efficiency in Code Generation
- Particle swarm optimization for online sparse streaming feature selection under uncertainty
- CORTEX: Composite Overlay for Risk Tiering and Exposure in Operational AI Systems
- Facilitating Matches on Allocation Platforms
- Structures Meet Semantics: Multimodal Fusion via Graph Contrastive Learning
- ZTFed-MAS2S: A Zero-Trust Federated Learning Framework with Verifiable Privacy and Trust-Aware Aggregation for Wind Power Data Imputation
- Boltzina: Efficient and Accurate Virtual Screening via Docking-Guided Binding Prediction with Boltz-2
- Bridging Graph and State-Space Modeling for Intensive Care Unit Length of Stay Prediction
- In-Context Algorithm Emulation in Fixed-Weight Transformers
- High-Order Langevin Monte Carlo Algorithms
- Activation Transport Operators
- Minimal Solvers for Full DoF Motion Estimation from Asynchronous Tracks
- Gumbel-MPNN: Graph Rewiring with Gumbel-Softmax
- OmniMRI: A Unified Vision--Language Foundation Model for Generalist MRI Interpretation
- Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations
- An experimental approach: The graph of graphs
- TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification
- Learning Interpretable Differentiable Logic Networks for Time-Series Classification
- Social-MAE: A Transformer-Based Multimodal Autoencoder for Face and Voice
- Multimodal Representation Learning Conditioned on Semantic Relations
- Improving French Synthetic Speech Quality via SSML Prosody Control
- Efficient Zero-Shot Long Document Classification by Reducing Context Through Sentence Ranking
- Optimizing Multi-Modality Trackers via Significance-Regularized Tuning
- GraphMMP: A Graph Neural Network Model with Mutual Information and Global Fusion for Multimodal Medical Prognosis
- A Human-In-The-Loop Approach for Improving Fairness in Predictive Business Process Monitoring
- A Synthetic Dataset for Manometry Recognition in Robotic Applications
- Optimizing Grasping in Legged Robots: A Deep Learning Approach to Loco-Manipulation
- Evaluating the Impact of Verbal Multiword Expressions on Machine Translation
- Adversarial Examples Are Not Bugs, They Are Superposition
- A Systematic Literature Review on Multi-label Data Stream Classification
All 178
- Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD
- Solving Constrained Stochastic Shortest Path Problems with Scalarisation
- MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Models
- Multi-Level LVLM Guidance for Untrimmed Video Action Recognition
- Programmable k-local Ising interactions and shallow optical Kolmogorov--Arnold networks through repeated data encounters
- Investigating Domain Gaps for Indoor 3D Object Detection
- Disentangled Geometry and Appearance for Efficient Multi-View Surface Reconstruction and Rendering
- FedKLPR: KL-Guided Pruning-Aware Federated Learning for Person Re-Identification
- GMOR: A Lightweight Robust Point Cloud Registration Framework via Geometric Maximum Overlapping
- Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling
- Data Leakage in Visual Datasets
- A Ridge Too Far: Correcting Over-Shrinkage via Negative Regularization
- E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation
- FRAME : Comprehensive Risk Assessment Framework for Adversarial Machine Learning Threats
- MoSA: Motion-Coherent Human Video Generation via Structure-Appearance Decoupling
- Mutual Information Surprise: Rethinking Unexpectedness in Autonomous Systems
- DS@GT at CheckThat! 2025: A Simple Retrieval-First, LLM-Backed Framework for Claim Normalization
- Retrieval Capabilities of Large Language Models Scale with Pretraining FLOPs
- Enhancing Underwater Images via Deep Learning: A Comparative Study of VGG19 and ResNet50-Based Approaches
- Large Language Models as Universal Predictors? An Empirical Study on Small Tabular Datasets
- Neural Proteomics Fields for Super-resolved Spatial Proteomics Prediction
- Effective Clustering for Large Multi-Relational Graphs
- DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning
- Mimicking the Physicist's Eye:A VLM-centric Approach for Physics Formula Discovery
- UI-Level Evaluation of ALLaM 34B: Measuring an Arabic-Centric LLM via HUMAIN Chat
- ShaLa: Multimodal Shared Latent Space Modelling
- Condition Weaving Meets Expert Modulation: Towards Universal and Controllable Image Generation
- Trust Me, I Know This Function: Hijacking LLM Static Analysis using Bias
- Detecting Struggling Student Programmers using Proficiency Taxonomies
- The Arabic Generality Score: Another Dimension of Modeling Arabic Dialectness
- No Pixel Left Behind: A Detail-Preserving Architecture for Robust High-Resolution AI-Generated Image Detection
- ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation
- Who Wins the Race? (R Vs Python) - An Exploratory Study on Energy Consumption of Machine Learning Algorithms
- DanceEditor: Towards Iterative Editable Music-driven Dance Generation with Open-Vocabulary Descriptions
- MetaFed: Advancing Privacy, Performance, and Sustainability in Federated Metaverse Systems
- DropLoRA: Sparse Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
- Modality-Specific Speech Enhancement and Noise-Adaptive Fusion for Acoustic and Body-Conduction Microphone Framework
- Semantic Diffusion Posterior Sampling for Cardiac Ultrasound Dehazing
- CultranAI at PalmX 2025: Data Augmentation for Cultural Knowledge Representation
- Is the Frequency Principle always valid?
- SpecGen: Neural Spectral BRDF Generation via Spectral-Spatial Tri-plane Aggregation
- Defending Deepfake via Texture Feature Perturbation
- Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality
- First Place Solution to the MLCAS 2025 GWFSS Challenge: The Devil is in the Detail and Minority
- Physics-informed neural network for predicting fatigue life of unirradiated and irradiated austenitic and ferritic/martensitic steels under reactor-relevant conditions
- PosBridge: Multi-View Positional Embedding Transplant for Identity-Aware Image Editing
- Explainable AI (XAI) for Arrhythmia detection from electrocardiograms
- Quickly Tuning Foundation Models for Image Segmentation
- ERF-BA-TFD+: A Multimodal Model for Audio-Visual Deepfake Detection
- MTNet: Learning modality-aware representation with transformer for RGBT tracking
- DeepCFD: Efficient near-ground airfoil lift coefficient approximation with deep convolutional neural networks
- Deep Learning-Assisted Detection of Sarcopenia in Cross-Sectional Computed Tomography Imaging
- Spatial-Temporal Human-Object Interaction Detection
- CLIFF: Continual Learning for Incremental Flake Features in 2D Material Identification
- ResLink: A Novel Deep Learning Architecture for Brain Tumor Classification with Area Attention and Residual Connections
- Provable Generalization in Overparameterized Neural Nets
- SEER-VAR: Semantic Egocentric Environment Reasoner for Vehicle Augmented Reality
- A biological vision inspired framework for machine perception of abutting grating illusory contours
- L-XAIDS: A LIME-based eXplainable AI framework for Intrusion Detection Systems
- PersPose: 3D Human Pose Estimation with Perspective Encoding and Perspective Rotation
- Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks
- ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation
- Curvature Learning for Generalization of Hyperbolic Neural Networks
- Deep Learning Architectures for Medical Image Denoising: A Comparative Study of CNN-DAE, CADTra, and DCMIEDNet
- MC3G: Model Agnostic Causally Constrained Counterfactual Generation
- Learning Graph-Indexed Trajectory Patterns for Stochastic On-Time Arrival Routing
- Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology
- Multi-modal Knowledge Decomposition based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology
- Explainable Counterfactual Reasoning in Depression Medication Selection at Multi-Levels (Personalized and Population)
- Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains
- Large Language Model-Based Automatic Formulation for Stochastic Optimization Models
- MMCIG: Multimodal Cover Image Generation for Text-only Documents and Its Dataset Construction via Pseudo-labeling
- Advancing Weakly-Supervised Change Detection in Satellite Images via Adversarial Class Prompting
- Scaling Graph Transformers: A Comparative Study of Sparse and Dense Attention
- Sharpness-Aware Geometric Defense for Robust Out-Of-Distribution Detection
- VROOM - Visual Reconstruction over Onboard Multiview
- Achieving detailed medial temporal lobe segmentation with upsampled isotropic training from implicit neural representation
- ONG: Orthogonal Natural Gradient Descent