HuggingFace
Soft Spatial Reasoning
Large Vision-Language Models (LVLMs) commonly perform spatial reasoning through chain-of-thought (CoT), encoding inte...
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HuggingFace
Rethinking Latent Visual Reasoning: Grounding Latent Reasoning in Visual Evidence
Latent visual reasoning (LVR) enables multimodal large language models (MLLMs) to perform intermediate computation in...
HuggingFace
TERRA: Terrain-Aware Reconstruction, Retargeting and Control for Musculoskeletal Locomotion
Recent advances in musculoskeletal modeling and reinforcement learning have enabled muscle-actuated agents to reprodu...
HuggingFace
SpatialCORE: Confidence-Aware Grounded Spatial Reasoning in Large Vision--Language Models
Large Vision-Language Models (LVLMs) have made remarkable progress across visual perception tasks, yet spatial reason...
HuggingFace
SeLMRoute: Probabilistic Semantic Evidence for Large Language Model Routing
Large language model (LLM) routing aims to select the most suitable model for each incoming query. Most existing rout...
HuggingFace
MemLife: Curating and Reasoning over Long-Term Egocentric Video Memories
Long-term egocentric video enables personalized AI assistants to reason about daily life. However, as video histories...
HuggingFace
Who Said What, and Will It Be Remembered? Evaluating Persistent Speaker Attribution Across Meetings
Speech transcripts used as long-term memory must preserve both words and stable speaker identities. Existing meeting-...
HuggingFace
Rubric Rewards from Item Response Theory
Many language tasks have no single answer that can be checked automatically. Rubrics provide criteria for judging res...
HuggingFace
Prompted Identity Degrades Cooperation in Multi-Agent LLM Systems
Multi-agent LLM systems increasingly mix models from several providers, yet exposing each agent's underlying model id...
HuggingFace
MILO: Automated Harness Discovery via Orchestrated Multi-Agent Evolution
Modern agentic systems combine an AI model with a harness that controls execution and environmental interactions. Har...
HuggingFace
DAGent: Evaluate-then-Grow Planning for Deep Research Agents
Deep research tasks require agents to navigate large knowledge spaces, synthesize evidence across many sources, and a...
HuggingFace
BIABench: Evaluating AI agents on real-world bioimage analysis tasks
Artificial-intelligence (AI) agents hold promise for automating bioimage analysis, yet no benchmark evaluates whether...