Papers
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Evaluating LLM-Based Grant Proposal Review via Structured Perturbations
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Using Multimodal and Language-Agnostic Sentence Embeddings for Abstractive Summarization
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PolyFormer: learning efficient reformulations for scalable optimization under complex physical constraints
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LAMUS: A Large-Scale Corpus for Legal Argument Mining from U.S. Caselaw using LLMs
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Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces
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A Blockchain-based Traceability System for AI-Driven Engine Blade Inspection
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Novel Semantic Prompting for Zero-Shot Action Recognition
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Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization
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Deconstructing Multimodal Mathematical Reasoning: Towards a Unified Perception-Alignment-Reasoning Paradigm
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Graph-Instructed Neural Networks for parametric problems with varying boundary conditions
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Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation
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Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness
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Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems
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Learning Multiple Utterance-Level Attribute Representations with a Unified Speech Encoder
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HDR-NSFF: High Dynamic Range Neural Scene Flow Fields
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SlowBA: An efficiency backdoor attack towards VLM-based GUI agents
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Human-AI Divergence in Ego-centric Action Recognition under Spatial and Spatiotemporal Manipulations
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CORE-Acu: Structured Reasoning Traces and Knowledge Graph Safety Verification for Acupuncture Clinical Decision Support
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Agentic Neurosymbolic Collaboration for Mathematical Discovery: A Case Study in Combinatorial Design
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EndoSERV: A Vision-based Endoluminal Robot Navigation System
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Beyond Attention Heatmaps: How to Get Better Explanations for Multiple Instance Learning Models in Histopathology
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SPD-RAG: Sub-Agent Per Document Retrieval-Augmented Generation
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Detecting Fake Reviewer Groups in Dynamic Networks: An Adaptive Graph Learning Method
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Electrocardiogram Classification with Transformers Using Koopman and Wavelet Features
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Rethinking Attention Output Projection: Structured Hadamard Transforms for Efficient Transformers
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Local-Global Prompt Learning via Sparse Optimal Transport
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Towards plausibility in time series counterfactual explanations
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Do Language Models Know Theo Has a Wife? Investigating the Proviso Problem
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Computational modeling of early language learning from acoustic speech and audiovisual input without linguistic priors
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$Δ$VLA: Prior-Guided Vision-Language-Action Models via World Knowledge Variation
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Diffusion-Based Data Augmentation for Image Recognition: A Systematic Analysis and Evaluation
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M$^3$-ACE: Rectifying Visual Perception in Multimodal Math Reasoning via Multi-Agentic Context Engineering
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Unifying On- and Off-Policy Variance Reduction Methods
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Leaderboard Incentives: Model Rankings under Strategic Post-Training
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This Looks Distinctly Like That: Grounding Interpretable Recognition in Stiefel Geometry against Neural Collapse
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Beyond the Markovian Assumption: Robust Optimization via Fractional Weyl Integrals in Imbalanced Data
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Structure from Rank: Rank-Order Coding as a Bridge from Sequence to Structure
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InFusionLayer: a CFA-based ensemble tool to generate new classifiers for learning and modeling
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Rectified flow-based prediction of post-treatment brain MRI from pre-radiotherapy priors for patients with glioma
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Real-Time Drone Detection in Event Cameras via Per-Pixel Frequency Analysis
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AULLM++: Structural Reasoning with Large Language Models for Micro-Expression Recognition
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A Hierarchical Error-Corrective Graph Framework for Autonomous Agents with LLM-Based Action Generation
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StructBiHOI: Structured Articulation Modeling for Long--Horizon Bimanual Hand--Object Interaction Generation
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Adaptive Loops and Memory in Transformers: Think Harder or Know More?
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COACH meets QUORUM: A Framework and Pipeline for Aligning User, Expert and Developer Perspectives in LLM-generated Health Counselling
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Revealing Behavioral Plasticity in Large Language Models: A Token-Conditional Perspective
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A Recipe for Stable Offline Multi-agent Reinforcement Learning
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SPIRAL: A Closed-Loop Framework for Self-Improving Action World Models via Reflective Planning Agents
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Sandpiper: Orchestrated AI-Annotation for Educational Discourse at Scale
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Aligning to Illusions: Choice Blindness in Human and AI Feedback
