Hannaneh Hajishirzi
Associate Professor
Develops open language models, retrieval-augmented generation and question answering with reasoning over knowledge.
Hannaneh Hajishirzi's lab at UW works on knowledge, QA & retrieval and large language models. 61 papers since 2023, 38 at top venues, mostly ACL and ICLR. 11 PhD students. 26 alumni, most often to Amazon and Google. Applications close .
At a glance
- papers, 2023–2026
- 16/ year
- at T1 venues
- 62%
- PhD students
- 11
- MS students
- 0
- alumni listed
- 26
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 3 · collecting
- 12 papers2025 · T1 5
- 17 papers2024 · T1 8
- 27 papers2023 · T1 22
T1 venuesOtherVenues: ACL, ICLR, EMNLP, NeurIPS, Findings of ACL
Research focuspaper titles that use each topic's words
- Large language models23 papers
- Knowledge, QA & retrieval6 papers
- open3 papers
- retrieval-augmented generation0 papers
- retrieval-augmented0 papers
Paper list
From the lab homepage.
20265 papers
- ICML (T1)DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research (opens in a new tab)
- COLMMeta-Reinforcement Learning with Self-Reflection for Agentic Search (opens in a new tab)
- ICML (T1)RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments (opens in a new tab)
- COLMScienceMeter: Tracking Scientific Knowledge Updates in Language Models (opens in a new tab)
- EMNLP (T1)Small Reward Models via Backward Inference (opens in a new tab)
202512 papers
- COLM2 OLMo 2 Furious (opens in a new tab)
- ICLR (T1)AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text (opens in a new tab)
- ICLR (T1)Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions (opens in a new tab)
- COLMEstablishing Task Scaling Laws via Compute-Efficient Model Ladders (opens in a new tab)
- COLMEvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees (opens in a new tab)
- NeurIPS Datasets & Benchmarks TrackGeneralizing Verifiable Instruction Following (opens in a new tab)
- ICML (T1)MIB: A Mechanistic Interpretability Benchmark (opens in a new tab)
- ACL demoOLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens (opens in a new tab)
- ICLR (T1)On Linear Representations and Pretraining Data Frequency in Language Models (opens in a new tab)
- ACL (T1)TESS 2: A Large-Scale Generalist Diffusion Language Model (opens in a new tab)
- COLMThe Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains (opens in a new tab)
- COLMTülu 3: Pushing Frontiers in Open Language Model Post-Training (opens in a new tab)
202417 papers
- Findings of ACLAre machines better at complex reasoning? Unveiling human-machine inference gaps in entailment verification (opens in a new tab)
- ICLR WorkshopBacktracking Mathematical Reasoning of Language Models to the Pretraining Data (opens in a new tab)
- NAACL (T1)BUFFET: Benchmarking Large Language Models for Cross-lingual Few-shot Transfer (opens in a new tab)
- EMNLP (T1)CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation (opens in a new tab)
- COLMDon't throw away your value model! Making PPO even better via Value-Guided Monte-Carlo Tree Search decoding (opens in a new tab)
- COLMInfini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens (opens in a new tab)
- ICLR (T1)MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts (opens in a new tab)
- EMNLP FindingsMeasuring and Improving Attentiveness to Partial Inputs with Counterfactuals (opens in a new tab)
- BlackBoxNLP workshop at EMNLPMechanistic? (opens in a new tab)
- NeurIPS (T1)Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning (opens in a new tab)
- EMNLP FindingsPlausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning (opens in a new tab)
- ICLR (T1)Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection (opens in a new tab)
202327 papers
- ACL (T1)CREPE: Open-Domain Question Answering with False Presuppositions (opens in a new tab)
- EMNLP (T1)Crystal: Introspective Reasoners Reinforced with Self-Feedback (opens in a new tab)
- NeurIPS (T1)DataComp: In search of the next generation of multimodal datasets (opens in a new tab)
- ICLR (T1)Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs (opens in a new tab)
- EMNLP (T1)Editing Common Sense in Transformers (opens in a new tab)
- ICLR (T1)Editing Models with Task Arithmetic (opens in a new tab)
- NeurIPS (T1)Fine-Grained Human Feedback Gives Better Rewards for Language Model Training (opens in a new tab)
- NeurIPS (T1)GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment (opens in a new tab)
- ACL (T1)HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation (opens in a new tab)
- NeurIPS Datasets and Benchmarks TrackHow Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources (opens in a new tab)
- Findings of EMNLPHow to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval (opens in a new tab)
- EMNLP (T1)Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy (opens in a new tab)
Where alumni went26 listed, 50% to industry
Industry 12Academia 12
Most often to
- Amazon
- Apple
Also to
- Ai2 2022 -> Assistant Professor at Johns Hopkins University
- Ai2 2024 -> Assistant Professor at Ohio State University
- Ai2 2025 -> Assistant Professor at Bar Ilan University
Apply to UWFall 2027
UW Allen School Computer Science PhD
- Round
- Single round
- Opens
- GRE
- not required
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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