HF Papers

Self-Hinting Language Models Enhance Reinforcement Learning

Self-Hinting Language Models Enhance Reinforcement Learning

2026-02-05

CL-bench: A Benchmark for Context Learning

CL-bench: A Benchmark for Context Learning

2026-02-05

Vibe AIGC: A New Paradigm for Content Generation via Agentic Orchestration

Vibe AIGC: A New Paradigm for Content Generation via Agentic Orchestration

2026-02-05

VLS: Steering Pretrained Robot Policies via Vision-Language Models

VLS: Steering Pretrained Robot Policies via Vision-Language Models

2026-02-05

A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces

A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces

2026-02-05

PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR

PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR

2026-02-05

Horizon-LM: A RAM-Centric Architecture for LLM Training

Horizon-LM: A RAM-Centric Architecture for LLM Training

2026-02-05

From Data to Behavior: Predicting Unintended Model Behaviors Before Training

From Data to Behavior: Predicting Unintended Model Behaviors Before Training

2026-02-05

MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering

MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering

2026-02-05

Agent-Omit: Training Efficient LLM Agents for Adaptive Thought and Observation Omission via Agentic Reinforcement Learning

Agent-Omit: Training Efficient LLM Agents for Adaptive Thought and Observation Omission via Agentic Reinforcement Learning

2026-02-05

D-CORE: Incentivizing Task Decomposition in Large Reasoning Models for Complex Tool Use

D-CORE: Incentivizing Task Decomposition in Large Reasoning Models for Complex Tool Use

2026-02-05

SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?

SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?

2026-02-05

Quantifying the Gap between Understanding and Generation within Unified Multimodal Models

Quantifying the Gap between Understanding and Generation within Unified Multimodal Models

2026-02-05

BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation

BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation

2026-02-05

Likelihood-Based Reward Designs for General LLM Reasoning

Likelihood-Based Reward Designs for General LLM Reasoning

2026-02-05

A2Eval: Agentic and Automated Evaluation for Embodied Brain

A2Eval: Agentic and Automated Evaluation for Embodied Brain

2026-02-05

Beyond Unimodal Shortcuts: MLLMs as Cross-Modal Reasoners for Grounded Named Entity Recognition

Beyond Unimodal Shortcuts: MLLMs as Cross-Modal Reasoners for Grounded Named Entity Recognition

2026-02-05

Efficient Autoregressive Video Diffusion with Dummy Head

Efficient Autoregressive Video Diffusion with Dummy Head

2026-02-05

No One-Size-Fits-All: Building Systems For Translation to Bashkir, Kazakh, Kyrgyz, Tatar and Chuvash Using Synthetic And Original Data

No One-Size-Fits-All: Building Systems For Translation to Bashkir, Kazakh, Kyrgyz, Tatar and Chuvash Using Synthetic And Original Data

2026-02-05

Context Learning for Multi-Agent Discussion

Context Learning for Multi-Agent Discussion

2026-02-05