Diyi Yang
Assistant Professor of Computer Science
Studies socially aware natural language processing and human-centered language technologies.
Diyi Yang's lab at Stanford works on language & society. 124 papers since 2023, 80 at top venues, mostly EMNLP and ACL. Applications close .
At a glance
- papers, 2023–2026
- 32/ year
- at T1 venues
- 65%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 20 papers2026 · T1 16 · collecting
- 31 papers2025 · T1 24
- 33 papers2024 · T1 17
- 40 papers2023 · T1 23
T1 venuesOtherVenues: EMNLP, ACL, ICLR, Findings of ACL, NeurIPS
Research focuspaper titles that use each topic's words
- Language & society34 papers
- language34 papers
- socially1 paper
- language technologies1 paper
- human-centered0 papers
Paper list
From DBLP.
202620 papers
- EACLAudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation (opens in a new tab)
- ICLR (T1)AutoLibra: Agent Metric Induction from Open-Ended Human Feedback (opens in a new tab)
- ICLR (T1)AutoMetrics: Approximate Human Judgments with Automatically Generated Evaluators (opens in a new tab)
- CHI (T1)Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors (opens in a new tab)
- ICLR (T1)Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration (opens in a new tab)
- ICLR (T1)Computer Agent Arena: Toward Human-Centric Evaluation and Analysis of Computer-Use Agents (opens in a new tab)
- ACL (T1)Future of Work in the Age of LLMs (opens in a new tab)
- ICLR (T1)GEM: A Gym for Generalist LLMs (opens in a new tab)
- Findings of ACLGenerative Interfaces for Language Models (opens in a new tab)
- ICLR (T1)How Dark Patterns Manipulate Web Agents (opens in a new tab)
- CHI (T1)Just-In-Time Objectives: A General Approach for Specialized AI Interactions (opens in a new tab)
- CHI (T1)Mapping the Spiral of Silence: Surveying Unspoken Opinions in Online Communities (opens in a new tab)
202531 papers
- ICLR (T1)Aligning Language Models with Demonstrated Feedback (opens in a new tab)
- ACL (T1)Attacking Vision-Language Computer Agents via Pop-ups (opens in a new tab)
- CHI Extended AbstractsBidirectional Human-AI Alignment: Emerging Challenges and Opportunities (opens in a new tab)
- NeurIPS (T1)Blackbox Model Provenance via Palimpsestic Membership Inference (opens in a new tab)
- ICLR (T1)Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers (opens in a new tab)
- UIST (T1)Creating General User Models from Computer Use (opens in a new tab)
- EMNLP (T1)Culture Cartography: Mapping the Landscape of Cultural Knowledge (opens in a new tab)
- NAACL (T1)Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering (opens in a new tab)
- ACL (T1)Distilling an End-to-End Voice Assistant Without Instruction Training Data (opens in a new tab)
- Findings of ACLEgoNormia: Benchmarking Physical-Social Norm Understanding (opens in a new tab)
- EMNLP (T1)EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence Checking (opens in a new tab)
- Proc. ACM Hum. Comput. Interact.Helping the Helper : Supporting Peer Counselors via AI-Empowered Practice and Feedback (opens in a new tab)
202433 papers
- ICWSMA Crisis of Civility? Modeling Incivility and Its Effects in Political Discourse Online (opens in a new tab)
- EACLAnchor Points: Benchmarking Models with Much Fewer Examples (opens in a new tab)
- Findings of EMNLPAre Large Language Models Consistent over Value-laden Questions? (opens in a new tab)
- EAAMOAuditing Gender Presentation Differences in Text-to-Image Models (opens in a new tab)
- Findings of EMNLPBenchmarking Machine Translation with Cultural Awareness (opens in a new tab)
- Comput. LinguisticsCan Large Language Models Transform Computational Social Science? (opens in a new tab)
- Findings of EMNLPCultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies (opens in a new tab)
- NeurIPS (T1)DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph (opens in a new tab)
- EMNLP (T1)Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach (opens in a new tab)
- EMNLP (T1)Demystifying Verbatim Memorization in Large Language Models (opens in a new tab)
- ICLR (T1)DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks (opens in a new tab)
- NAACL (T1)Grounding Gaps in Language Model Generations (opens in a new tab)
202340 papers
- Proc. ACM Hum. Comput. Interact."Honestly, I Think TikTok has a Vendetta Against Black Creators": Understanding Black Content Creator Experiences on TikTok (opens in a new tab)
- EMNLP (T1)"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms (opens in a new tab)
- EMNLP (T1)A Cheaper and Better Diffusion Language Model with Soft-Masked Noise (opens in a new tab)
- Trans. Assoc. Comput. LinguisticsAn Empirical Survey of Data Augmentation for Limited Data Learning in NLP (opens in a new tab)
- Trans. Mach. Learn. Res.Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (opens in a new tab)
- Findings of EACLBounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints (opens in a new tab)
- EMNLP (T1)CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation (opens in a new tab)
- USENIX Security (T1)Combating Robocalls with Phone Virtual Assistant Mediated Interaction (opens in a new tab)
- ACL (T1)Compositional Data Augmentation for Abstractive Conversation Summarization (opens in a new tab)
- EMNLP (T1)CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations (opens in a new tab)
- CVPR (T1)ConStruct-VL: Data-Free Continual Structured VL Concepts Learning (opens in a new tab)
- Findings of ACLControllable Conversation Generation with Conversation Structures via Diffusion Models (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to StanfordFall 2027
Stanford Computer Science PhD
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Data
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