Hajishirzi, Hannaneh

Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling

Nottingham, K., Ammanabrolu, P., Suhr, A., Choi, Y., Hajishirzi, H., Singh, S., & Fox, R. (2023) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 12

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Lu, P., Bansal, H., Xia, T., Liu, J., Li, C., Hajishirzi, H., Cheng, H., Chang, K.-W., Galley, M., & Gao, J. (2023) · arXiv

Multimodal Machine Learning ApplicationsMathematics, Computing, and Information Processing

Cited by 12

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Soldaini, L., Kinney, R., Bhagia, A., Schwenk, D., Atkinson, D., Authur, R., Bogin, B., Chandu, K., Dumas, J., Elazar, Y., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

OLMo: Accelerating the Science of Language Models

Groeneveld, D., Beltagy, I., Walsh, P., Bhagia, A., Kinney, R., Tafjord, O., Jha, A. H., Ivison, H., Magnusson, I., Wang, Y., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer

Asai, A., Kudugunta, S., Yu, X. V., Blevins, T., Gonen, H., Reid, M., Tsvetkov, Y., Ruder, S., & Hajishirzi, H. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 10

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Ivison, H., Wang, Y., Pyatkin, V., Lambert, N., Peters, M., Dasigi, P., Jang, J., Wadden, D., Smith, N. A., Beltagy, I., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 8

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs

Asai, A., He, J., Shao, R., Shi, W., Singh, A., Chang, J. C., Lo, K., Soldaini, L., Feldman, S., D'arcy, M., et al. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 7

Exploring The Landscape of Distributional Robustness for Question Answering Models

Awadalla, A., Wortsman, M., Ilharco, G., Min, S., Magnusson, I., Hajishirzi, H., & Schmidt, L. (2022) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 6

RewardBench: Evaluating Reward Models for Language Modeling

Lambert, N., Pyatkin, V., Morrison, J., Miranda, L., Lin, B. Y., Chandu, K., Dziri, N., Kumar, S., Zick, T., Choi, Y., et al. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 5

Generalizing Verifiable Instruction Following

Pyatkin, V., Malik, S., Graf, V., Ivison, H., Huang, S., Dasigi, P., Lambert, N., & Hajishirzi, H. (2025) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 4

Data Engineering for Scaling Language Models to 128K Context

Fu, Y., Panda, R., Niu, X., Yue, X., Hajishirzi, H., Kim, Y., & Peng, H. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature

Wadden, D., Shi, K., Morrison, J., Li, A., Naik, A., Singh, S., Barzilay, N., Lo, K., Hope, T., Soldaini, L., et al. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 3

2 OLMo 2 Furious

OLMo, T., Walsh, P., Soldaini, L., Groeneveld, D., Lo, K., Arora, S., Bhagia, A., Gu, Y., Huang, S., Jordan, M., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Paloma: A Benchmark for Evaluating Language Model Fit

Magnusson, I., Bhagia, A., Hofmann, V., Soldaini, L., Jha, A. H., Tafjord, O., Schwenk, D., Walsh, E. P., Elazar, Y., Lo, K., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Spurious Rewards: Rethinking Training Signals in RLVR

Shao, R., Li, S. S., Xin, R., Geng, S., Wang, Y., Oh, S., Du, S. S., Lambert, N., Min, S., Krishna, R., et al. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 1

RewardBench 2: Advancing Reward Model Evaluation

Malik, S., Pyatkin, V., Land, S., Morrison, J., Smith, N. A., Hajishirzi, H., & Lambert, N. (2025) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 1

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Wettig, A., Lo, K., Min, S., Hajishirzi, H., Chen, D., & Soldaini, L. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation

Heineman, D., Hofmann, V., Magnusson, I., Gu, Y., Smith, N. A., Hajishirzi, H., Lo, K., & Dodge, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Scaling Test-Time Compute for Agentic Coding

Kim, J., Yang, W., Niu, K., Zhang, H., Zhu, Y., Helenowski, E., Silva, R., Chen, Z., Iyer, S., Zaheer, M., et al. (2026) · arXiv

Software Engineering ResearchAI-based Problem Solving and Planning

Cited by 0