Yuansheng Ni

📢 Introducing VisCoder – fine-tuned language models for Python-based visualization code generation and feedback-driven self-debugging. Existing LLMs struggle to generate reliable plotting code: outputs often raise exceptions, produce blank visuals, or fail to reflect the…

🚀 This year, we’ve rolled out a series of updates to EasyEdit1—and dropped EasyEdit2 to steer LLM behavior on the fly! 🔧✨ 👉 Code: github.com/zjunlp/EasyEdit What’s new? • Datasets: Integrated AKEW, LEME & UNKE • Methods: NAMET, CORE, UNKE, AnyEdit & Reference-free Preference…

🔎Agentic search like Deep Research is fundamentally changing web search, but it also brings an evaluation crisis⚠️ Introducing Mind2Web 2: Evaluating Agentic Search with Agents-as-a-Judge - 130 tasks (each requiring avg. 100+ webpages) from 1,000+ hours of expert labor -…

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🚨 New Paper Alert 🚨 We found that Supervised Fine-tuning on ONE problem can achieve similar performance gain as RL on ONE problem with 20x less compute! Paper: arxiv.org/abs/2506.03295 Recently, people have shown that RL can work even with ONE example. This indicates that the…

Introducing VerlTool - a unified and easy-to-extend tool agent training framework based on verl. Recently, there's been a growing trend toward training tool agents with reinforcement learning algorithms like GRPO and PPO. Representative works include SearchR1, ToRL, ReTool, and…

PhyX Does Your Model Have the "Wits" for Physical Reasoning?

📷 New Benchmark Release: PhyX - Physical Reasoning for Multimodal Models 👉 Project Page: phyx-bench.github.io 👉 Github: github.com/NastyMarcus/Ph… 👉 arXiv: arxiv.org/abs/2505.15929 👉 Huggingface Dataset: huggingface.co/datasets/Cloud…

Excited to share VideoEval-Pro, a robust and comprehensive evaluation suite for long video understanding (LVU) models. 📊1,289 open-ended questions from 465 long videos (avg. 38 mins) 🎯Diverse task types: perception and reasoning tasks based on local and holistic video contents

🚀 New Paper: Pixel Reasoner 🧠🖼️ How can Vision-Language Models (VLMs) perform chain-of-thought reasoning within the image itself? We introduce Pixel Reasoner, the first open-source framework that enables VLMs to “think in pixel space” through curiosity-driven reinforcement…

Introducing QuickVideo, 🚀 speeding up the end-to-end time from the mp4 bit stream to VideoLLM inference by at least 2.5 times for hour-long video understanding (e.g 1024 frames) on a single 40GB GPU. 🤔What are the key challenges of hour-long video understanding? 1.…

🚀 General-Reasoner: Generalizing LLM Reasoning Across All Domains (Beyond Math) Most recent RL/R1 works focus on math reasoning—but math-only tuning doesn't generalize to general reasoning (e.g. drop on MMLU-Pro and SuperGPQA). Why are we limited to math reasoning? 1. Existing…

🔥 How do you build a state-of-the-art Vision-Language Model with direct RL? We’re excited to introduce VL-Rethinker, a new paradigm for multimodal reasoning trained directly with Reinforcement Learning. 📈 It sets new SOTA on key math+vision benchmarks: - MathVista: 80.3 → 🥇…

🚀Big WebDreamer update! We train 💭Dreamer-7B, a small but strong world model for real-world web planning. 💥Beats Qwen2-72B ⚖️Matches #GPT-4o Trained on 3M synthetic examples — and yes, all data + models are open-sourced.