← Authors

Hannaneh Hajishirzi

155 papers · 2013–2025 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) πŸ—ΊοΈ Taxonomy Completionist (16) 🏠 Conference Loyalist (36) 🀝 Dynamic Duo (27) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (50) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (31) πŸ† Keyword Champion (2) ❓ The Questioner (6) ⚑ Prolific Year (25) πŸ’Ž Century Club (155) πŸ—ƒοΈ Keyword Collector (529) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13)

Conferences

EMNLP (48) ACL (36) NAACL (22) ICLR (15) NIPS (12) CVPR (6) ICML (5) IJCNLP (5) SEMEVAL (2) AAAI (1) ECCV (1) ICCV (1) INTERSPEECH (1)

Top co-authors

Sewon Min (27) Luke Zettlemoyer (26) Noah A. Smith (22) Ali Farhadi (21) Yejin Choi (21) Akari Asai (14) Mari Ostendorf (12) Yizhong Wang (12) Minjoon Seo (10) Kyle Lo (10)

Research topics

Reinforcement Learning (1)

Keywords

language model (27) question answering (23) zero-shot learning (12) multi-task learning (10) few-shot learning (9) information retrieval (9) in-context learning (8) large language model (8) relation extraction (7) information extraction (7) commonsense reasoning (6) named entity recognition (6) reinforcement learning (6) transfer learning (6) passage retrieval (5) text generation (5) instruction tuning (5) open-domain question answering (5) language modeling (5) efficient computing (5)

Papers

A Systematic Examination of Preference Learning through the Lens of Instruction-Following NAACL 2025
OLMES: A Standard for Language Model Evaluations NAACL 2025
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature EMNLP 2025
ComPO: Community Preferences for Language Model Personalization NAACL 2025
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback ACL 2025
Steering off Course: Reliability Challenges in Steering Language Models ACL 2025
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens ACL 2025
Organize the Web: Constructing Domains Enhances Pre-Training Data Curation ICML 2025
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models CVPR 2025
s1: Simple test-time scaling EMNLP 2025
Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index EMNLP 2025
Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions ICLR 2025
OLMoE: Open Mixture-of-Experts Language Models ICLR 2025
RewardBench: Evaluating Reward Models for Language Modeling NAACL 2025
The Art of Saying No: Contextual Noncompliance in Language Models NIPS 2024
Decoding-Time Language Model Alignment with Multiple Objectives NIPS 2024
Data Engineering for Scaling Language Models to 128K Context ICML 2024
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference ICML 2024
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NIPS 2024
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection ICLR 2024
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore ICLR 2024
MatFormer: Nested Transformer for Elastic Inference NIPS 2024
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation EMNLP 2024
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging EMNLP 2024
BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models ICLR 2024
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts ICLR 2024
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer NAACL 2024
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition NIPS 2024
Paloma: A Benchmark for Evaluating Language Model Fit NIPS 2024
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ACL 2024
OLMo: Accelerating the Science of Language Models ACL 2024
Set the Clock: Temporal Alignment of Pretrained Language Models ACL 2024
What's In My Big Data? ICLR 2024
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation EMNLP 2023
SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks EMNLP 2023
Editing models with task arithmetic ICLR 2023
AGRO: Adversarial discovery of error-prone Groups for Robust Optimization ICLR 2023
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization ICLR 2023
DataComp: In search of the next generation of multimodal datasets NIPS 2023
GenEval: An object-focused framework for evaluating text-to-image alignment NIPS 2023
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training NIPS 2023
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources NIPS 2023
Elaboration-Generating Commonsense Question Answering at Scale ACL 2023
Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations ACL 2023
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning ACL 2023
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories ACL 2023
CREPE: Open-Domain Question Answering with False Presuppositions ACL 2023
HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation ACL 2023
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models ACL 2023
Self-Instruct: Aligning Language Models with Self-Generated Instructions ACL 2023
Nonparametric Masked Language Modeling ACL 2023
Task-aware Retrieval with Instructions ACL 2023
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors ACL 2023
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling ICML 2023
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements EMNLP 2023
TaskWeb: Selecting Better Source Tasks for Multi-task NLP EMNLP 2023
Crystal: Introspective Reasoners Reinforced with Self-Feedback EMNLP 2023
Machine Reading Comprehension using Case-based Reasoning EMNLP 2023
Reframing Instructional Prompts to GPTk’s Language ACL 2022
Noisy Channel Language Model Prompting for Few-Shot Text Classification ACL 2022
FaVIQ: FAct Verification from Information-seeking Questions ACL 2022
Cross-Task Generalization via Natural Language Crowdsourcing Instructions ACL 2022
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts EMNLP 2022
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering EMNLP 2022
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling EMNLP 2022
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning EMNLP 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation EMNLP 2022
SciFact-Open: Towards open-domain scientific claim verification EMNLP 2022
Robust Fine-Tuning of Zero-Shot Models CVPR 2022
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks NAACL 2022
Generated Knowledge Prompting for Commonsense Reasoning ACL 2022
MetaICL: Learning to Learn In Context NAACL 2022
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts NAACL 2022
Patching open-vocabulary models by interpolating weights NIPS 2022
MultiVerS: Improving scientific claim verification with weak supervision and full-document context NAACL 2022
Aligning to Social Norms and Values in Interactive Narratives NAACL 2022
NaturalProver: Grounded Mathematical Proof Generation with Language Models NIPS 2022
Exploring The Landscape of Distributional Robustness for Question Answering Models EMNLP 2022
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs ICML 2022
Retrieval Data Augmentation Informed by Downstream Question Answering Performance ACL 2022
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers NAACL 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks IJCNLP 2021
Efficient Passage Retrieval with Hashing for Open-domain Question Answering IJCNLP 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks ACL 2021
Efficient Passage Retrieval with Hashing for Open-domain Question Answering ACL 2021
MultiModalQA: complex question answering over text, tables and images ICLR 2021
A Controllable Model of Grounded Response Generation AAAI 2021
DeLighT: Deep and Light-weight Transformer ICLR 2021
DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization EMNLP 2021
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text EMNLP 2021
Joint Passage Ranking for Diverse Multi-Answer Retrieval EMNLP 2021
GooAQ: Open Question Answering with Diverse Answer Types EMNLP 2021
Probing Across Time: What Does RoBERTa Know and When? EMNLP 2021
Beyond Paragraphs: NLP for Long Sequences NAACL 2021
Probing Contextual Language Models for Common Ground with Visual Representations NAACL 2021
XOR QA: Cross-lingual Open-Retrieval Question Answering NAACL 2021
Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP 2020
Contextualized Sparse Representations for Real-Time Open-Domain Question Answering ACL 2020
Logic-Guided Data Augmentation and Regularization for Consistent Question Answering ACL 2020
SciREX: A Challenge Dataset for Document-Level Information Extraction ACL 2020
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages ACL 2020
Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web ACL 2020
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions EMNLP 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction EMNLP 2020
AmbigQA: Answering Ambiguous Open-domain Questions EMNLP 2020
Fact or Fiction: Verifying Scientific Claims EMNLP 2020
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers EMNLP 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020
UNIFIEDQA: Crossing Format Boundaries with a Single QA System EMNLP 2020
MedICaT: A Dataset of Medical Images, Captions, and Textual References EMNLP 2020
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering ICLR 2020
DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling ICLR 2020
Multi-hop Reading Comprehension through Question Decomposition and Rescoring ACL 2019
ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network CVPR 2019
A general framework for information extraction using dynamic span graphs NAACL 2019
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms NAACL 2019
Text Generation from Knowledge Graphs with Graph Transformers NAACL 2019
A Discrete Hard EM Approach for Weakly Supervised Question Answering EMNLP 2019
SemEval-2019 Task 10: Math Question Answering SEMEVAL 2019
On Making Reading Comprehension More Comprehensive EMNLP 2019
Entity, Relation, and Event Extraction with Contextualized Span Representations EMNLP 2019
Mixture Content Selection for Diverse Sequence Generation EMNLP 2019
Compositional Questions Do Not Necessitate Multi-hop Reasoning ACL 2019
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index ACL 2019
A Discrete Hard EM Approach for Weakly Supervised Question Answering IJCNLP 2019
Mixture Content Selection for Diverse Sequence Generation IJCNLP 2019
Entity, Relation, and Event Extraction with Contextualized Span Representations IJCNLP 2019
Neural Speed Reading via Skim-RNN ICLR 2018
Standardized Tests as benchmarks for Artificial Intelligence EMNLP 2018
Pyramidal Recurrent Unit for Language Modeling EMNLP 2018
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction EMNLP 2018
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension EMNLP 2018
Semi-Supervised Event Extraction with Paraphrase Clusters NAACL 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation ECCV 2018
The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings SEMEVAL 2018
Scientific Information Extraction with Semi-supervised Neural Tagging EMNLP 2017
Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension CVPR 2017
Question Answering through Transfer Learning from Large Fine-grained Supervision Data ACL 2017
Learning Prototypical Event Structure from Photo Albums ACL 2016
Disfluency Detection Using a Bidirectional LSTM INTERSPEECH 2016
A Task-Oriented Approach for Cost-Sensitive Recognition CVPR 2016
A Theme-Rewriting Approach for Generating Algebra Word Problems EMNLP 2016
Multiplicative Representations for Unsupervised Semantic Role Induction ACL 2016
MAWPS: A Math Word Problem Repository NAACL 2016
Learning Knowledge Graphs for Question Answering through Conversational Dialog NAACL 2015
Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning CVPR 2015
Talking to the crowd: What do people react to in online discussions? EMNLP 2015
Unediting: Detecting Disfluencies Without Careful Transcripts NAACL 2015
Aligning Sentences from Standard Wikipedia to Simple Wikipedia NAACL 2015
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing ICCV 2015
Solving Geometry Problems: Combining Text and Diagram Interpretation EMNLP 2015
Learning to Solve Arithmetic Word Problems with Verb Categorization EMNLP 2014
Multi-Resolution Language Grounding with Weak Supervision EMNLP 2014
Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves EMNLP 2013