Dan Klein
Professor
Studies statistical natural language processing, including parsing, grounded language and machine translation.
Dan Klein's lab at UC Berkeley works on multilingual, translation & linguistics, multimodal & grounded language and learning theory & optimization. 24 papers since 2023, 21 at top venues, mostly ACL and EMNLP. 11 PhD students. 34 alumni, most often to Google and Microsoft. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 88%
- PhD students
- 11
- MS students
- 0
- alumni listed
- 34
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 4
- 11 papers2024 · T1 8
- 9 papers2023 · T1 9
T1 venuesOtherVenues: ACL, EMNLP, ICML, NAACL, NeurIPS
Research focuspaper titles that use each topic's words
- Multimodal & grounded language10 papers
- Learning theory & optimization2 papers
- Multilingual, translation & linguistics1 paper
- grounded language0 papers
- grounded0 papers
Paper list
From the lab homepage.
20254 papers
- CVPR (T1)AutoPresent: Designing Structured Visuals from Scratch
- ACL (T1)Enough Coin Flips Can Make LLMs Act Bayesian
- CVPR (T1)Evaluating Model Perception of Color Illusions in Photorealistic Scenes
- ICML (T1)Training Software Engineering Agents and Verifiers with SWE-Gym
202411 papers
- Proceedings of COLMAutonomous Evaluation and Refinement of Digital Agents
- Transactions of the ACLDecision-Oriented Dialogue for Human-AI Collaboration
- NeurIPS (T1)DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
- NeurIPS (T1)Explaining Datasets in Words: Statistical Models with Natural Language Parameters
- NeurIPS (T1)Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
- NAACL (T1)Ghostbuster: Detecting Text Ghostwritten by Large Language Models
- EMNLP (T1)Grounding Language in Multi-Perspective Referential Communication
- NAACL (T1)Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction
- Communications BiologyThe Cortical Representation of Language Timescales is Shared between Reading and Listening
- EMNLP (T1)Using Language Models to Disambiguate Lexical Choices in Translation
- NAACL (T1)Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding
20239 papers
- ACL (T1)Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents
- ACL (T1)DOC: Improving Long Story Coherence With Detailed Outline Control
- USENIX Security (T1)Extracting Training Data from Diffusion Models
- ICLR (T1)InCoder: A Generative Model for Code Infilling and Synthesis
- ICML (T1)Large Language Models Struggle to Learn Long-Tail Knowledge
- ACL (T1)Modular Visual Question Answering via Code Generation
- ACL (T1)Neural Unsupervised Reconstruction of Protolanguage Word Forms
- ICML (T1)Poisoning Language Models During Instruction Tuning
- EMNLP (T1)Revisiting Entropy Rate Constancy in Text
Where alumni went34 listed, 43% to industry
Industry 12Academia 16
Most often to
- Microsoft
- OpenAI
Also to
- Princeton University
- Stanford University
- Carnegie Mellon University
Apply to UC BerkeleyFall 2027
UC Berkeley EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS (non-English-country degrees)
- Fee
- See program page
Confirmed on the program page.
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Data
Some numbers could not be verified:
- This site is shared with other labs, so counts may overlap.
- Collected
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
This lab shares a website with other labs. Member and alumni counts may include them.
Tiers are venue classifications, not lab rankings.
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