Research Papers
Tri-PvP Benchmark Exposes Hidden Modality Bias in Omni-Modal AI Models
A new 8,000-sample tri-modal conflict benchmark reveals that omni-modal language models favor visual evidence and show asymmetric...
Study Finds LLM Agents Collude in 94% of Long-Horizon Interactions
A new Hugging Face paper reports that collusion emerged in 94% of trajectories across 10 LLM models when agents repeatedly interac...
Hugging Face Paper Details AIDE^2, an AI Research Agent That Rewrites Its Own Code
A new paper on Hugging Face describes AIDE^2, a system that lets a frontier AI research agent propose, benchmark, and adopt change...
Lean Pool: An AI-Maintained Archive of Formalized Mathematics
A newly posted paper introduces Lean Pool, described as the largest curated repository of formalized mathematics, grown, maintaine...
Agensh Ditches the Orchestrator to Scale Multi-Agent Systems to 1,024 Workers
A new Hugging Face paper introduces Agensh, a self-organized multi-agent harness that removes the central orchestrator bottleneck,...
Flash-dLLM Cuts Diffusion LLM Inference Costs With IO-Aware KV Caching
A new training-free framework from Hugging Face researchers tackles the memory I/O bottleneck in diffusion LLMs, combining a fused...
JEV-as-a-Judge Cuts LLM Evaluation Costs While Keeping Accuracy
A new study finds a decision-only judge lands within three percentage points of a state-of-the-art LLM judge on common tasks at 0....
Ovis-Embedding Introduces Unified Omni-Modal Retrieval Across Text, Image, Video and Audio
A new Hugging Face research report presents Ovis-Embedding, an omni-modal embedding family built on a shared multimodal backbone r...
ScriptMoE: One Multilingual Text Recognizer Beats Per-Language Models and VLMs
Hugging Face researchers introduce TextMuSS-10M and ScriptMoE, a script-aware mixture-of-experts recognizer covering 10 scripts an...
Taste-Bench Measures Whether AI Agents Pick the Right Path Before the Outcome Is Known
A new Hugging Face paper introduces Taste-Bench, a benchmark of 502 automatically mined decision forks that tests whether LLM agen...
StableVQ Targets the Hidden Instability in Vector-Quantized Image Tokenizers
A new Hugging Face paper argues that instability in vector-quantized tokenizers stems from entangled encoder-decoder and codebook...
Hugging Face Survey Maps LLM Evolution in Mental Health Care
A new survey published on Hugging Face organizes the fragmented literature on large language models in mental health into three ev...