Signal over volume.

SCOPE: Breaking the Supervision Barrier in Open-Ended Self-Play RL

iVGR: Internalizing Visual Grounding into Textual Reasoning via Reinforcement...

iVGR: Internalizing Visual Grounding into Textual Reasoning via Reinforcement Learning

Seeing Isn't Knowing: VLMs Struggle to Recognize Unreliable Spatial Information

RoTS: Enhancing GUI Agent Robustness via Error-Driven Trajectory Synthesis

Benchmarking Composed Image Retrieval for Earth Observation: From Attributes ...

Frequency-Guided Action Diffusion: Smoothing Robotic Motion via Sub-Frequency...

PithTrain: Redesigning MoE Training Frameworks for Agent-Task Efficiency

GPU Forecasters: Using LLMs as Selective Surrogates to Accelerate Kernel Opti...

BenHalluEval: A New Multi-Task Hallucination Benchmark for Bengali LLMs

Unlocking Compositionality: How Transformers Learn to Bind Variables and Perf...

DECAT: A New Framework to Detect Spurious Correlations in Multimodal Oncology...

Unlocking Concept Binding: Why CLIP Fails and How Transformers Can Succeed

REUSERL: Boosting LLM Agent Generalization via Skill Reuse as Compression

UniAudio-Token: Bridging the Gap Between Semantic Speech and General Audio Pe...

Activation Outliers Identified as the Root Cause of Feature Death in Sparse A...

Bridging RL and Formal Verification: Value Functions as Supermartingale Certi...

PARL: Learning Personalized Evaluation Rubrics from User History via Reinforc...

KAFFEE: Bridging the Gap Between Probabilistic Accuracy and Dynamical Fidelit...

Positional vs. Symbolic Attention: Why Some LLMs Fail at Long-Context Reasoning

Functional Attention: Reimagining Attention as a Mapping Between Function Spaces

Hidden Bias: VLMs Suppress Female Representations Internally Despite Neutral ...

Unmasking the Trajectory: How Diffusion Models Generate Text from Graphs

CHARM: Giving Sensors a Voice with Multimodal JEPA for Semantic Time-Series E...

TunerDiT: Training-Free Progressive Steering for Consistent Multi-Event Video...