Mechanisms of Prompt-Induced Hallucination in Vision-Language Models
arXiv:2601.05201v2 Announce Type: replace-cross Abstract: Large vision-language models (VLMs) are highly capable, yet often hallucinate by favoring textual prompts over…
Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning
arXiv:2506.20020v2 Announce Type: replace Abstract: Reasoning in humans is prone to biases due to underlying motivations like identity protection, that…
Theory of Mind in Action: The Instruction Inference Task in Dynamic Human-Agent Collaboration
arXiv:2507.02935v3 Announce Type: replace-cross Abstract: Successful human-agent teaming relies on an agent being able to understand instructions given by a…
AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection
arXiv:2604.16207v1 Announce Type: cross Abstract: As forgery types continue to emerge consistently, Incremental Face Forgery Detection (IFFD) has become a…
SatBLIP: Context Understanding and Feature Identification from Satellite Imagery with Vision-Language Learning
arXiv:2604.14373v2 Announce Type: replace-cross Abstract: Rural environmental risks are shaped by place-based conditions (e.g., housing quality, road access, land-surface patterns),…
DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI
arXiv:2604.15456v1 Announce Type: new Abstract: Trustworthiness and transparency are essential for the clinical adoption of artificial intelligence (AI) in healthcare…
ChemAmp: Amplified Chemistry Tools via Composable Agents
arXiv:2505.21569v3 Announce Type: replace-cross Abstract: Although LLM-based agents are proven to master tool orchestration in scientific fields, particularly chemistry, their…
UniDoc-RL: Coarse-to-Fine Visual RAG with Hierarchical Actions and Dense Rewards
arXiv:2604.14967v2 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) extends Large Vision-Language Models (LVLMs) with external visual knowledge. However, existing visual…
Targeted Exploration via Unified Entropy Control for Reinforcement Learning
arXiv:2604.14646v2 Announce Type: replace Abstract: Recent advances in reinforcement learning (RL) have improved the reasoning capabilities of large language models…
Robust Synchronisation for Federated Learning in The Face of Correlated Device Failure
arXiv:2604.16090v1 Announce Type: cross Abstract: Probabilistic Synchronous Parallel (PSP) is a technique in distributed learning systems to reduce synchronization bottlenecks…