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arXiv cs.AI Research & Papers
Atom-level Protein Representation Learning Improves Protein Structure Prediction
arXiv cs.AI Research & Papers
Sutra: Tensor-Op RNNs as a Compilation Target for Vector Symbolic Architectures
arXiv cs.AI Research & Papers
ThoughtTrace: Understanding User Thoughts in Real-World LLM Interactions
arXiv cs.AI Research & Papers
An Interpretable Closed-Loop Intelligent Tutoring System for Multimodal Affective Feedbac…
arXiv cs.AI Research & Papers
Cross-Domain Molecular Relational Learning: Leveraging Chemical Structure-Activity Analys…
arXiv cs.AI Research & Papers
6G Communication Networks Enabling Embodied Agents: Architecture and Prototype
arXiv cs.AI Research & Papers
VISD: Enhancing Video Reasoning via Structured Self-Distillation
arXiv cs.AI Research & Papers
It's the humans, not the data: Geopolitical bias in LLMs originates in post-training, amp…
arXiv cs.AI Research & Papers
When Good Equations Get Bad Scores: Improving Symbolic Regression Through Better Paramete…
arXiv cs.AI Research & Papers
PGT: Procedurally Generated Tasks for improving visual grounding in MLLMs
arXiv cs.AI Research & Papers
Robust Counterfactual Inference in Markov Decision Processes
arXiv cs.AI Research & Papers
FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Sys…
arXiv cs.AI Research & Papers
MedSAE: Dissecting MedCLIP Representations with Sparse Autoencoders
arXiv cs.AI Security & Safety
TCAP: Tri-Component Attention Profiling for Unsupervised Backdoor Detection in MLLM Fine-…
arXiv cs.AI Security & Safety
GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
arXiv cs.AI Research & Papers
Bridging AI and Clinical Reasoning: Abductive Explanations for Alignment on Critical Symp…
arXiv cs.AI Research & Papers
IntentScore: Intent-Conditioned Action Evaluation for Computer-Use Agents
arXiv cs.AI Research & Papers
Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning
arXiv cs.AI Security & Safety
RAG-Pull: Turning Retrieval into a Code-Injection Channel via Invisible Unicode Perturbat…
arXiv cs.AI Research & Papers
Bridging Data and Physics: A Graph Neural Network-Based Hybrid Twin Framework
arXiv cs.AI Research & Papers
R$^3$L: Reflect-then-Retry Reinforcement Learning with Language-Guided Exploration, Pivot…
arXiv cs.AI Research & Papers
The Surprising Difficulty of Search in Model-Based Reinforcement Learning
arXiv cs.AI Research & Papers
Moonwalk: Inverse-Forward Differentiation
arXiv cs.AI Research & Papers
Online Learning with Multiple Fairness Regularizers via Graph-Structured Feedback
arXiv cs.AI Research & Papers
Diffusion and Flow Matching Models for Tabular Data: A Survey
arXiv cs.AI Research & Papers
PLACE: Prompt Learning for Attributed Community Search in Large Graphs
arXiv cs.AI Research & Papers
Disentangling Interaction and Bias Effects in Opinion Dynamics of Large Language Models
arXiv cs.AI Research & Papers
TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning
arXiv cs.AI Research & Papers
On the Infinite Width and Depth Limits of Predictive Coding Networks
arXiv cs.AI Research & Papers
A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning