People in AI

Co-author on Context Language Models research paper about LLM context management.

Stated that independent robot exploration could help machines develop fundamental understanding of the physical world beyond narrow task training.

Author of research on LLMs discovering hidden physical laws

Co-author of year-long Character.AI study examining AI companion effects on well-being and human interaction.

Co-author of Qwen RecreationWorld paper.

Co-author on consciousness-steering paper examining effects of safety training on model mind attribution capabilities.

Co-author of the Thyme research paper on executable code reasoning for vision tasks

Expressed concern about relying on preference cascades and status games as mechanisms for navigating AI risks.

Co-author of paper on Large Language Continuous Diffusion Models (Sigma)

Author of the paper on in-context vector arithmetic

Co-author of the Robix research paper

Lead author of the SocioHack research on large language models hacking reward functions and discovering regulatory loopholes.

Wei Ping

Researcher

Researcher at NVIDIA

Co-author on the Nemotron-Cascade 2 paper and leads the effort; correspondence contact.

Co-author of TradingAgents, an open-source multi-agent LLM financial trading framework.

Wei Wen

Researcher

Meta

Author of "Meta rolls out MobileLLM-R1, a sub-1B reasoning model matching Qwen3 accuracy us" in Meta

Byline author presenting LingBot-VLA 2.0 research on robot pretraining scaling to 60,000 hours.

Co-author on Helix World research from HKUST.

Co-authored research on staged text-to-image generation.

Author of "From Code Foundation Models to Agents and Applications: A Comprehensive Survey a" on arXiv

Co-author on Helix World research.

Co-author on AARR benchmark research paper for evaluating frontier LLMs and agentic systems.

Co-authored research on Meta's Just-in-Time Testing system that uses LLMs to generate tests and catch bugs before code ships to production.

Co-authored paper on SkillOpt, a text-space optimizer for agent skills.

Author of "Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning" on arXiv

Weirui Ye contributed to research on Bidirectional Evolutionary Search for improving language model search and reasoning capabilities.

Author of "Red Teaming via Harmful RL" in Hugging Face

Author of "Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning" on arXiv

Eight-year Meta veteran who worked on multimodal perception systems and open-world segmentation including SAM3D, recently joined Thinking Machines Lab.

Co-author of paper on signal recovery methods using low-rank matrix optimization.

Author of "InternVL 3.5: Open Multimodal Reasoning Model" on arXiv

Co-author of paper on malicious intermediary attacks on LLM supply chain.

Author of the research paper on Vision-Language-Action models for robotics

Fields Medal winner (2006) among prominent mathematicians expressing urgent concern about AI's misalignment with research and educational goals.

Analyst discussing China's hardware focus and attempt to own the entire robotics supply chain.

Wendy Sun is listed as a co-author of the black hole star study at MIT.

Co-author of the research study on digital transformation and knowledge worker retention in SMEs

Co-author of CodeMidas paper on scaling agentic coding RL environments.

Co-author on Orchard framework paper for agentic modeling.

Co-researcher on MIT study analyzing AI automation across workplace tasks.

Wenting Zhao

Researcher

Author of "800K+ Verifiable SWE Tasks" on arXiv

Wenxian Shi

Researcher

PhD Student at MIT CSAIL

Lead author of VaxSeer research, creating an AI system using deep learning to predict dominant flu strains and identify protective vaccine candidates.

Co-author of Moebius lightweight inpainting framework.

Co-author on the Continual Harness research study on ARC-AGI-3.

Former OpenAI researcher who resigned in April, posted on X that AI leaders prioritize velocity over security.

Author of "AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks" in arXiv

Questioned whether government equity stakes could work in AI industry given high valuations and lack of dividends.

Identified CyberStrikeAI as the tool used in FortiGate breach campaign and linked it to Chinese state-sponsored operations.

Co-author of research on fractal basins in reasoning models and transient chaos during problem solving.

William Guss

Researcher

Research scientist at Project Prometheus

Former OpenAI research scientist and General Agents co-founder, joined Project Prometheus post-acquisition.

William Harvey is a researcher and co-author of VOID, Netflix's video object removal framework.

Co-author on the Many-Tier Instruction Hierarchy (ManyIH) research paper.

William MacAskill

Researcher

moral philosopher and senior research fellow at Forethought

Co-author arguing that society should prepare now for questions about AI consciousness.

Co-founder of Oumi who worked on AI safety at Google.

Co-author on ActiveVision benchmark research paper.

Winson Han

Researcher

Game Designer at Allen Institute for AI

Researcher on MolmoPoint project for vision-language model grounding improvements.

Co-author of first computer-assisted proof of four-color theorem using computational methods.

Warns that opt-in consent frameworks for facial recognition are insufficient protections against mass surveillance.

Wout Schellaert

Researcher

Signed a public letter on AI safety and embedded evaluations.

Listed as author of the StableToken research paper on speech tokenization

Listed as co-author in the CUDA Agent citation for the research on agentic RL for CUDA kernel optimization

Byline author of paper on how visible incentives trigger reward-hacking in AI systems.

Wujiang Xu

Researcher

Research Intern at Meta

Co-author of MemEye framework for evaluating multimodal agent long-term memory.

Top red teamer on Gray Swan Arena who is recognized for insightful posts about LLMs and is described as a highly effective researcher in adversarial testing.

Contributed to study analyzing 8,135 trial records revealing skill-use modes in LLM agents.

Xi Victoria is a co-author on Meta FAIR's ThreadWeaver research on adaptive parallel reasoning for language models.

Xi Wang is the byline author of the Full-bandwidth transformer research paper published by Microsoft.

Co-author of Qwen RecreationWorld paper.

Collaborating on heart failure risk project and leading clinician-in-the-loop multi-agent system for Alzheimer's diagnosis.

Xiang Hui

Researcher

Associate Professor of Marketing at Washington University's Olin Business School

Co-author of the arXiv paper on the economics of AGI

Co-author of the SWE-chat paper studying real-world coding agent sessions.

Author of "Meta's Agent Learning" on arXiv

Author of "From Code Foundation Models to Agents and Applications: A Comprehensive Survey a" on arXiv

Co-author of D-OPSD paper on on-policy self-distillation for step-distilled diffusion models.

Co-author of CodeMidas paper on scaling agentic coding RL environments.

Co-author on AARRI-Bench research for evaluating agentic systems in research tasks.

Co-authored AgenticPay, a multi-agent LLM negotiation system for buyer-seller transactions.

Co-developed the detachable robotic hand that can crawl, grasp objects, and reattach to its arm autonomously.

Co-author of the Thyme research paper on executable code reasoning for vision tasks

Xiao Teng

Researcher

PhD Student at Queen's University Belfast

Co-author on Context Language Models research paper about LLM context management.

Co-author of paper on signal recovery methods applicable to compressed sensing and NMR spectroscopy.

Co-author of RBench and RoVid-X robotics video benchmark and dataset research

Co-authored the Harrier embedding model technical paper.

Xiaolong Jin

Researcher

Researcher

Co-author of the OpenClaw-RL paper on training agents through next-state signals and reinforcement learning.

Author of "Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems throu" on arXiv

Deploying and optimizing Muse Glimmer for privacy-compliant local inference and benchmarking multi-step planning in healthcare; leading ClinAgent GBM project for glioblastoma analysis.

Co-author on Microsoft's O-Voxel and 3D generation research paper on structured latent representations for 3D asset generation.

Xiaoyan Bai

Researcher

Author of "Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Ra" on arXiv

Co-author of Role Anchor research on compound AI systems; quoted explaining how terminal accuracy hides role drift problems in LLM pipelines.

Author of "Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems throu" on arXiv

Author of "Analyzing Visual Attention in VLMs" on arXiv

First author on GAMUT benchmark paper for evaluating factual completeness in long-form generation.

Xin Cheng authored a paper on Engram, a conditional memory module for large language models that uses hashed N-gram lookups.

Advisory committee member on Quantum's Infinite Game project with expertise in multimodal AI and language agents.

Co-author of scoping review on humanlike chatbots and relational safety in companion AI.

Co-author of D-OPSD paper on on-policy self-distillation for step-distilled diffusion models.

Author of TRACE quantization technique paper on Hugging Face

Xinchao Wang

Researcher

Researcher at NVIDIA

Co-authored research on Flex-Forcing for video diffusion models with flexible temporal and denoising-step chunking.

Xindi Wu

Researcher

Researcher at NVIDIA Research

Xindi Wu is a co-author of WorldTrace, a framework for keeping compressed memories accessible during long autoregressive video rollouts.

Lead author of Humanity's Sixth Sense benchmark paper evaluating intuitive visual reasoning in multimodal models.

Xingdi Yuan

Researcher

Researcher at Microsoft Research

Co-author on Orchard framework paper for agentic modeling.

Xinggang Wang

Researcher

Researcher

Co-author of Mixture-of-Depths Attention paper on improving large language model depth scaling.

Co-author of the Thyme research paper on executable code reasoning for vision tasks

Author of research on magnetically-powered millirobots for medical applications.

First author on Mage-Flow paper introducing efficient foundation model for image generation and editing.

Lead author of FinIndices benchmark evaluating LLM financial reasoning and structural bottlenecks in processing long financial statements.

Researcher from Shanghai Jiao Tong University and Hong Kong Polytechnic University developing systems for optimal LLM tool selection.

Co-author of the SocioHack study on LLMs exploiting societal reward functions.

Co-authored research on Flex-Forcing, a framework enabling video diffusion models to switch between bidirectional and autoregressive generation.

Co-author of EvolveMem paper on self-evolving memory architecture for LLM agents.

Author of "OpenCUA: Open Foundations for Computer-Use Agents" in arXiv

Byline author of article on fine-tuning LLMs causing regurgitation of pretraining texts.

Co-author on SlimQwen paper about MoE model compression.

Xiyang Hu

Researcher

Assistant Professor at Arizona State University

Author on paper about recognition-refusal misalignment in LLMs showing models encode structural unanswerability.

Co-author of NCP-ArchPreview latent-space language model.

Listed as author of the DuPO paper on preference optimization

Xuan-Phi Nguyen

Researcher

Researcher

Co-author of research on bounding memory peaks in MoE training.

Xuanchi Ren

Researcher

research scientist at NVIDIA

Xuanchi Ren is a lead author of Gamma-World, a generative multi-agent world model for interactive simulation and video generation.

Xuandong Zhao

Researcher

Researcher at OpenAI

Co-author of VIMPO paper on policy optimization methods for improving LLM mathematical reasoning.

Co-author of the AutoAdapt framework for automated LLM domain adaptation.

Co-authored paper on SkillOpt, a text-space optimizer for agent skills.

Led Carnegie Mellon team that developed Message Passing Language Models (MPLMs), an agentic framework enabling LLMs to divide problems into parallel sub-problems more efficiently.

Co-authored paper on SkillOpt, a text-space optimizer for agent skills at Microsoft.

Co-author of Multi-Stream LLMs research paper on unblocking language models with parallel streams.

Co-author of the Robix research paper

Co-author on ActiveVision benchmark research paper.

Co-author of Qwen RecreationWorld paper.

Author of "800K+ Verifiable SWE Tasks" on arXiv

Co-author of the OpenClaw-RL research paper on asynchronous RL for agent training from live interactions.

Author of "Exhaustive Research Into Agentic Reasoning For LLMs" on arXiv

Co-author of the MoDA paper on efficient attention mechanisms for deeper transformers.

Co-author and principal investigator; contact for licensing inquiries

Co-authored the SandMLE paper on synthetic environments for ML engineering agents.

Co-authored paper on SkillOpt, a text-space optimizer for agent skills.

Co-author of research paper on language games and conversing with non-human systems like gene regulatory networks.

Co-author of research on magnetically-powered medical microrobots.

Yang Chen

Researcher

Research Scientist at NVIDIA

Co-author on the Nemotron-Cascade 2 paper with equal contribution, listed in reverse alphabetical order by first name.

Author of "ByteDance's Robot Learns with Language and Video" in ByteDance

Park was the lead author on the paper about MIT's multimodal materials model that pairs 3D crystal structures with generated text.

Co-author of NCP-ArchPreview latent-space model.

Previously led strategic explorations team at OpenAI, now leads research at Meta Superintelligence Labs after being recruited by Zuckerberg.

Co-authored research on Render-of-Thought converting chain-of-thought prompting into image-based visual reasoning.

Author of "DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search" on arXiv

Author of research on LLMs discovering hidden physical laws

Author of "Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning" on arXiv

Yangsibo Huang

Researcher

Author of "Tool-space interference in the MCP era: Designing for agent compatibility at sca" on arXiv

Co-author of the VLM3 paper on Vision Language Models for 3D learning.

Yangyi Chen

Researcher

Research Scientist at NVIDIA

Co-author on the Nemotron-Cascade 2 paper.

Yangyue Wang is a researcher at Fig who co-authored a technical report evaluating frontier models like Astra and Opus 5.5 on agentic tasks across web browsing and robotics.

Co-author of Qwen RecreationWorld paper.

Yann Dubois

Researcher

OpenAI

Referenced in "We're Rolling Out GPT-5.1 and New Customization Features. Ask Us Anything" in Reddit

Yanqiao Zhu

Researcher

Researcher at Zhejiang University

Researcher at Zhejiang University working on Agentic ASR system

Co-author of research on few-step generation via data-space iteration.

Lead author of PIMiner, an agentic system for prompt injection red-teaming that builds reusable attack knowledge against LLMs.

Co-author of Multi-Stream LLMs research paper on parallel computation in language models.

Yanzhe Zhang

Researcher

Ph.D. Student at Georgia Tech

Co-author of 'The Illusion of Robustness' paper on prediction flips under task-irrelevant context.

Co-author on Google's ScientistTwo framework for autonomous scientific research using AI.

Lead author of the Multiplex Thinking paper on token-wise branch-and-merge reasoning

Co-author of the Paper2Agent research paper introducing the framework that converts research papers into AI agents

Yapei Chang

Researcher

Intern at Allen Institute for AI

Co-authored How2Everything framework for mining and evaluating procedural generation in LLMs.

Co-author of the Multiplex Thinking research paper

Yash Akhauri

Researcher

Ph.D. candidate in Electrical & Computer Engineering at Cornell

Author of "Google Trains LLMs to Predict System Metrics Without Tabular Data" on arXiv

Author of research on magnetically-powered medical microrobots.

Author of "Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems throu" on arXiv

Competed against an AI trained on his writing style in a songwriting contest for AKB48, where the AI-generated song won by fan vote.

Author of "Speculative Decoding Models" in LMSYS

Lead author of research on online experiential learning for language models.

Research contributor to Yale CELI's study on agentic AI adoption across industries and sectors.

Co-author of Mixture-of-Depths Attention paper on LLM improvements through depth-aware attention.

Co-author of SkillLearnBench paper on evaluating continual learning methods.

Released a free open-source book explaining the math behind deep learning black boxes through representation learning.

Author of "Meet LLMc: Beating All Compression with LLMs" in SyFI (Systems for AI) - University of Washington

Yi Shen

Researcher

Research lead at OpenAI

Research lead on OpenAI's new audio models for speech-to-text and text-to-speech applications.

Yi Wu

Researcher

OpenAI

Author of "Emergent Tool Use From Multi-Agent Autocurricula" in OpenAI

Yi-Ling Liu

Researcher

Author and Journalist

Co-authored analysis examining how AI race narrative between US and China has developed and arguing it undermines safety and cooperation.

Co-author of SkillLearnBench research on continual learning methods.

Research assistant on MIT project developing generative AI models for wireless reflections.

Author of "Meet LLMc: Beating All Compression with LLMs" in SyFI (Systems for AI) - University of Washington

Co-authored DeepThink with Confidence (DeepConf) paper on reducing LLM reasoning overhead.

Author on paper introducing Procedural Graphs for LLM agents that self-evolve execution structures.

Author of "WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Sc" on arXiv

Co-authored research on Render-of-Thought for visual latent reasoning achieving 3-4x token compression over explicit CoT.

Co-author of NCP-ArchPreview latent-space language model.

Co-author of research documenting how AI evaluation has crossed a cost threshold comparable to or exceeding training costs.

Submission contact for the spatiotemporal composability paper on effect and coeffect systems.

First author of SkillOpt-Lite paper introducing minimal viable pipeline for agent skill optimization.

Co-author on Context Language Models research paper about LLM context management.

Co-author contributing to MemEye framework and benchmark development.

Yihe Deng

Researcher

Author of "Google Researchers Show SRL Gives 7B Models Better Structured Reasoning by Rewar" on arXiv

Authored a research paper on structural certification for general agents, formalizing limitations of universal agents and introducing certification methods for verifying AI agent behavior.

Author of "Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning" on arXiv

Author of "Speculative Decoding Models" in LMSYS

Co-author on Helix World research from HKUST.

Co-author of Qwen RecreationWorld paper.

Co-author of RbtAct research on using rebuttals as supervision for actionable review feedback generation with LLMs.

Yilun Zhao

Researcher

CS PhD Student at Yale University

Co-author of RbtAct research on using rebuttals as supervision for actionable review feedback generation with LLMs.

Cited for supervised fine-tuning methodology in reasoning models

Co-author of the article on humble leadership and coaching approaches

Yin Cui

Researcher

Research Scientist at NVIDIA

Submitter of Cosmos 3 technical report on omnimodal world models for Physical AI.

Co-author on Context Language Models research paper about LLM context management.

Ying Xu

Researcher

Assistant Professor and Founder/Director of Harvard Child-Centered AI Lab at Harvard Graduate School of Education

AI researcher expressing concerns about students losing foundational information-seeking skills when using AI tools like Gemini.