Updates
New and trending models on Hugging Face, the latest LLM research from arXiv and HF Daily Papers, and releases of the major open inference stacks on GitHub.
Last refreshed 2026-09-20 00:01 UTC · refreshes automatically every 15 minutes
- 2026-09-17·HF Papers
📄 WeVisDoc: From Coverage to Capability for Robust End-to-End Document Parsing
Document parsing converts document images into structured content and requires reliable performance across diverse layouts and acquisition conditions. Yet training corpora are biased toward common document types and clea…
- 2026-09-17·HF Papers
📄 RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning
Multi-turn agents trained with reinforcement learning (RL) receive a single scalar reward per trajectory, which motivates self on-policy distillation (OPD) to supply dense token-level supervision from a self-teacher with…
- 2026-09-17·HF Papers
📄 Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL
Agent trajectories record what an agent does and what happens next. Yet standard supervised fine-tuning (SFT) applies loss only to agent-authored action tokens, using environment observations as context but not as predic…
- 2026-09-17·HF Papers
📄 When EOS Tokens Disagree: Understanding Length Inflation in On-Policy Distillation
We study length inflation in on-policy distillation (OPD), where student responses can become excessively long and even exhaust the generation budget. We identify termination-token mismatch between base students and post…
- 2026-09-17·HF Papers
📄 FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations
Modeling articulated objects from sparse monocular views is challenging because each observation reveals only partial geometry and motion evidence. Most feed-forward methods infer articulation from a single observation a…
- 2026-09-17·HF Papers
📄 When2Think: Learning Difficulty-Aware Length Control for Efficient Hybrid Reasoning Models
Large Reasoning Models (LRMs) achieve strong performance on complex tasks but exhibit systematic inefficiency: they often overthink easy problems and underthink hard ones. Existing approaches based on uniform length pena…
- 2026-09-17·HF Papers
Information retrieval is increasingly important as LLM agents tackle complex tasks involving diverse information needs. Because retrieval relies on an index that represents each document through index keys, retrieval qua…
- 2026-09-17·HF Papers
📄 What Does Privileged Information Add to On-Policy Self-Distillation?
On-policy self-distillation (OPSD) lets a language model learn from a frozen copy of itself that sees an answer or a worked solution. Giving the teacher this extra information seems to offer the student more to learn, bu…
- 2026-09-17·HF Papers
📄 VākQA: A Benchmark and Evaluation Study for Telugu Spoken Factoid Question Answering
Question answering has advanced rapidly with large language models, but predominantly for high-resource languages, in both text and spoken settings. Spoken question answering (SQA) benchmark for Telugu remains unexplored…
- 2026-09-16·HF Papers
Test-time scaling can improve large language model reasoning by generating and combining multiple candidate responses. In sampling-based methods, the inference budget is often described by the number of generated candida…
- 2026-09-16·HF Papers
📄 PACT: Can Enterprise AI Assistants Be Trusted Under Pressure?
As corporate AI adoption continues to grow, enterprise-grade LLM agents are being deployed into sensitive contexts such as hiring, healthcare, and finance. In these contexts, compliance with rules specified in an agent's…
- 2026-09-16·HF Papers
📄 Can MiniMax-H3 Reason About the Physical World? An Evaluation of Omni-Modal Generative Model
Recent Omni-Modal Generative Models (Omni-Models) have advanced content generation toward unified modeling of text, images, video, and audio. MiniMax-H3 exemplifies this transition by combining multimodal context underst…
- 2026-09-15·HF Papers
📄 Verifiable Social Reasoning for LLM Assistants
LLM assistants are widely used for daily social advice, yet evaluating their social reasoning in such consultation settings remains challenging since (i) it requires setups where the assistant learns about social situati…
- 2026-09-15·HF Papers
📄 Reflect, Revise, Reuse: Training-Free Skill Evolution for GUI Agents
GUI agents execute long-horizon tasks on dynamic graphical user interfaces, where pop-ups, delayed loads, and relocated widgets routinely invalidate plans fixed before execution. Recent agent-skill frameworks encapsulate…
- 2026-09-04·HF Papers
📄 Srijika: OpenType-Layout-Reusing Font Restyling for Nine Indic Scripts
We present Srijika, a system for producing installable OpenType fonts for nine Brahmic scripts: Devanagari, Tamil, Bengali, Telugu, Kannada, Malayalam, Gujarati, Gurmukhi, and Odia. Rather than generating fonts from scra…