Hannaneh Hajishirzi

papers

8,607

total citations

papers (15)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

ICLR 2025arXiv

2,226

citations

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

ICLR 2024arXiv

1,435

citations

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

ICLR 2024arXiv

1,235

citations

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

NEURIPS 2023arXiv

473

citations

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

NEURIPS 2023arXiv

427

citations

Patching open-vocabulary models by interpolating weights

NEURIPS 2022arXiv

203

citations

Data Engineering for Scaling Language Models to 128K Context

ICML 2024arXiv

186

citations

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

CVPR 2025arXiv

111

citations

NaturalProver: Grounded Mathematical Proof Generation with Language Models

NEURIPS 2022arXiv

citations

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

ICLR 2024arXiv

citations

APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

ICML 2024arXiv

citations

BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models

ICLR 2024arXiv

citations

Hannaneh Hajishirzi

papers (15)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Robust Fine-Tuning of Zero-Shot Models

DataComp: In search of the next generation of multimodal datasets

GenEval: An object-focused framework for evaluating text-to-image alignment

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

Patching open-vocabulary models by interpolating weights

Data Engineering for Scaling Language Models to 128K Context

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

NaturalProver: Grounded Mathematical Proof Generation with Language Models

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models

papers (15)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Robust Fine-Tuning of Zero-Shot Models

DataComp: In search of the next generation of multimodal datasets

GenEval: An object-focused framework for evaluating text-to-image alignment

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

Patching open-vocabulary models by interpolating weights

Data Engineering for Scaling Language Models to 128K Context

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

NaturalProver: Grounded Mathematical Proof Generation with Language Models

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models