HuggingFace
LLM2R: From Large Language Models to 3D Reassemblers
3D part assembly aims to reconstruct a complete shape from a set of unassembled parts by predicting a rigid SE(3) tra...
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HuggingFace
Evaluating Agentic Capabilities Before Post-Training: An End-to-End Approach
Agentic capabilities are increasingly important for modern LLMs, yet remain difficult to evaluate during pretraining....
HuggingFace
FlowState: Execution State as Memory for Long-Horizon LLM Agents
Long-horizon tasks require LLM agents to continually draw on information from earlier interactions. However, retainin...
HuggingFace
PVBench: Quantifying Physical Plausibility in Video Generation with Object-Level Physical Measurements
Recent video generation models produce visually compelling outputs, yet their physical plausibility remains poorly me...
HuggingFace
PhysLDM: Latent Diffusion for High-Fidelity Deformable Simulation
Neural simulation of high-fidelity deformable bodies is a foundational challenge in computer graphics and physical AI...
HuggingFace
Token-Set Choice Confounds POPE: A Systematic Audit of Yes/No Extraction in VLM Hallucination Evaluation
We set out to reproduce a recent hallucination-mitigation result on the POPE benchmark. The LLaVA-1.5-7B baseline we ...
HuggingFace
Beyond Maliciousness: Static and Runtime Attack-Surface Profiling of Agent Skills
Agent skills are Markdown documents that a tool-using agent reads as instructions and then acts on with the privilege...
HuggingFace
N-Gram Memories at Two Bits: Quantizing Lookup Tables in Large Language Models
Conditional memory expands language-model capacity through selective lookup, but the full embedding table must remain...
HuggingFace
CyberArena: Benchmarking AI Agents in Live Symmetric Attack-and-Defense Combat
AI agents are demonstrating increasingly strong offensive and defensive cybersecurity capabilities in the real world....
HuggingFace
ACEdit: Stable Multi-Turn Image Editing via Asymmetric Conditioning
Image editing models produce impressive results for individual edits, but their quality often deteriorates over multi...
HuggingFace
Training Reasoning Models to Generate Diverse Scientific Ideas
One of the first steps of a research pipeline is generating ideas. Large Language Models (LLMs) are increasingly used...
HuggingFace
HERA: Harness-Environment Co-Evolution for Reliable Agentic Abstention
Large language model (LLM) agents are increasingly capable of acting in complex tool-use environments, yet they often...