Tianqing Fang

🚀 We are thrilled to release a new open-source Deep Research Agent, Cognitive Kernel-Pro, from Tencent AI Lab! We focus on building a fully open-source agent with (to the maximum extent) free tools, showcasing impressive performance on GAIA with Claude-3.7-sonnet and surpass the counterpart, SmolAgents by a large margin. In addition, we study the training recipe for an open-source Deep Research Agent Foundation Model. We curate high-quality training data (queries, trajectories, and verifiable answers across web, file, code, and reasoning domains). Our finetuned Qwen3-8B (CK-Pro-8B) surpasses WebDancer and WebSailor with the similar model size on the text-only subset of GAIA. 📜 Paper: arxiv.org/pdf/2508.00414 🔧 Code: github.com/Tencent/Cognit… 🤗 Data & Model: huggingface.co/datasets/Cogni… huggingface.co/CognitiveKerne… This work builds on the previous efforts of Tencent AI Lab (Fig. 2). Be sure to check them out if you're interested!

📢New paper: Guided Self-Evolving LLMs with Minimal Human Supervision Self-evolving / Self-improving LLMs often plateau fast due to concept drift, diversity collapse, and mis-evolution. Our method fixes this — keeping self-evolution stable, aligned, and on track! Link: arxiv.org/abs/2512.02472

#emnlp2025 I’m presenting several papers I authored at Tencent AI Lab about agent self evolving and LLM memory. There will also be an oral presentation on the WebEvolver paper at Thu. Nov 6 at 16:30-18:00 Location: A110. Come and chat with me 😆

🚀 Thrilled to share our breakthrough! Our 🍁Marco‑MT🍁 achieved outstanding results at #WMT2025 General Translation! 🏆 @AI_AlibabaInt Final Human Evaluation Results: 🏅6 First Places 🥈4 Second Places 🥉2 Third Places

Code for 𝐏𝐚𝐫𝐚𝐥𝐥𝐞𝐥-𝐑𝟏 is live! 👉 github.com/zhengkid/Paral… (now 189 stars and climbing 🔥) It lets LLMs think in parallel — multiple reasoning paths, smarter synthesis, more creative inference! Miss this paper and you’re missing a leap forward: arxiv.org/abs/2509.07980

@wyu_nd and I are recruiting 2026 Spring/Summer Research Interns at Tencent AI Lab 🚀 Topics include self-evolving, Agent Systems, Complex Reasoning, etc. We are also hiring full-time researchers with PhD degrees, fully publication-driven. Please DM or email.

New paper: VLMs can self-reward during RL training — no visual annotations needed! -- Decompose VLM reasoning into visual vs. language parts -- Prompt the same VLM without visual input for visual reward We call it 𝐕𝐢𝐬𝐢𝐨𝐧-𝐒(𝐞𝐥𝐟)𝐑𝟏: arxiv.org/abs/2508.19652

This week, we open-sourced NVIDIA-Nemotron-Nano-v2-9B: our next-generation efficient hybrid model. - 6× faster than Qwen3-8B at reasoning tasks. - Retained long-context capability (8k → 262k trained, usable at 128k) First true demonstration that reasoning models can be compressed without bespoke architectures 👉 Report: research.nvidia.com/labs/adlr/file… 👉 HuggingFace: huggingface.co/collections/nv…

WebEvolver is accepted by #EMNLP2025 main conference. See you in Suzhou, China! Code: github.com/Tencent/SelfEv… Paper: arxiv.org/abs/2504.21024

WebEvolver is now accepted to EMNLP 2025. @emnlpmeeting A self-evolving web agent capable of look-ahead simulation.

Microsoft just released Agent Lightning on Hugging Face. Train ANY AI agents with Reinforcement Learning with almost ZERO code change! A flexible and extensible framework that fully decouples agents from RL training.

𝑳𝑳𝑴𝒔 can really 𝑺𝒆𝒍𝒇-𝑬𝒗𝒐𝒍𝒗𝒆, 𝒘𝒊𝒕𝒉𝒐𝒖𝒕 𝑯𝒖𝒎𝒂𝒏 𝑫𝒂𝒕𝒂! -- One LLM, two roles: Challenger creates tasks, Solver answers them. -- No data, no labels, just a base model that learns and improves itself! We name it 𝑹-𝒛𝒆𝒓𝒐: arxiv.org/abs/2508.05004

Tencent AI Lab introduces R-Zero! A groundbreaking framework enabling LLMs to self-evolve their reasoning capabilities from zero human-curated data, through an autonomous Challenger-Solver loop.

Seems the term GPT-5 refers to more than a model but a Deep(er) Research Agent 🫣

This is a fully open-source Deep Research Agent from Tencent -- data, code, and checkpoint!

Tencent AI Lab just released Cognitive Kernel-Pro on Hugging Face! A fully open-source & free multi-module agent framework designed for deep research & agent foundation model training. Achieves state-of-the-art among open-source agents on GAIA.

@HuggingPapers Thanks for sharing our work!

Thank you for sharing our work! The code, data, and models have been open-sourced for the research community’s benefit: github.com/Tencent/Cognit… huggingface.co/CognitiveKerne… huggingface.co/datasets/Cogni…

🗒️Have been exploring Agent-RL training over the past few months, particularly in GUI scenarios. Here’s a summary of some practical insights and lessons 🤔 learned from the perspective of an industry researcher, and some reference papers.