A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Pradeep Dasigi, Kyle Lo, Iz Beltagy +3

Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization

Ansong Ni, Matt Gardner, Pradeep Dasigi

Ontology-Aware Token Embeddings for Prepositional Phrase Attachment

Pradeep Dasigi, Waleed Ammar, Chris Dyer +1

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

Yizhong Wang, Hamish Ivison, Pradeep Dasigi +8

Evaluating In-Context Learning of Libraries for Code Generation

Arkil Patel, Siva Reddy, Dzmitry Bahdanau +1

The Art of Saying No: Contextual Noncompliance in Language Models

Faeze Brahman, Sachin Kumar, Vidhisha Balachandran +11

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning

Pradeep Dasigi, Nelson F. Liu, Ana Marasović +2

Evaluating Models' Local Decision Boundaries via Contrast Sets

Matt Gardner, Yoav Artzi, Victoria Basmova +23

Olmo Hybrid: From Theory to Practice and Back

William Merrill, Yanhong Li, Tyler Romero +19

Large-Scale Data Selection for Instruction Tuning

Hamish Ivison, Muru Zhang, Faeze Brahman +2

LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization

Kalpesh Krishna, Erin Bransom, Bailey Kuehl +4

Easy, Reproducible and Quality-Controlled Data Collection with Crowdaq

Qiang Ning, Hao Wu, Pradeep Dasigi +5

Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback

Lester James V. Miranda, Yizhong Wang, Yanai Elazar +6

Learning with Instance Bundles for Reading Comprehension

Dheeru Dua, Pradeep Dasigi, Sameer Singh +1

TRAM: Bridging Trust Regions and Sharpness Aware Minimization

Tom Sherborne, Naomi Saphra, Pradeep Dasigi +1

Rethinking the Evaluation of Harness Evolution for Agents

Yike Wang, Huaisheng Zhu, Zhengyu Hu +7

The paper reexamines how automatic harness evolution for large language model agents is evaluated, comparing it to simple test‑time scaling baselines and finding that it offers lim…

IIRC: A Dataset of Incomplete Information Reading Comprehension Questions

James Ferguson, Matt Gardner, Hannaneh Hajishirzi +2

Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Nathan Lambert, Jacob Morrison, Valentina Pyatkin +20

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

Hamish Ivison, Yizhong Wang, Valentina Pyatkin +8

Meta-Reinforcement Learning with Self-Reflection for Agentic Search

Teng Xiao, Yige Yuan, Hamish Ivison +6

AllenNLP: A Deep Semantic Natural Language Processing Platform

Matt Gardner, Joel Grus, Mark Neumann +6

AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization

Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar +2

Scalable Data Ablation Approximations for Language Models through Modular Training and Merging

Clara Na, Ian Magnusson, Ananya Harsh Jha +4

Olmo 3

Team Olmo, :, Allyson Ettinger +66

ReFIT: Relevance Feedback from a Reranker during Inference

Revanth Gangi Reddy, Pradeep Dasigi, Md Arafat Sultan +4

HREF: Human Response-Guided Evaluation of Instruction Following in Language Models

Xinxi Lyu, Yizhong Wang, Hannaneh Hajishirzi +1

Experiment Segmentation in Scientific Discourse as Clause-level Structured Prediction using Recurrent Neural Networks

Pradeep Dasigi, Gully A. P. C. Burns, Eduard Hovy +1

Generalizing Verifiable Instruction Following

Valentina Pyatkin, Saumya Malik, Victoria Graf +5

2 OLMo 2 Furious

Team OLMo, Pete Walsh, Luca Soldaini +40

OLMo: Accelerating the Science of Language Models

Dirk Groeneveld, Iz Beltagy, Pete Walsh +40

Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging

Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi +3

Data-Efficient Finetuning Using Cross-Task Nearest Neighbors

Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi +1

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Rulin Shao, Akari Asai, Shannon Zejiang Shen +18

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Dheeru Dua, Yizhong Wang, Pradeep Dasigi +3

Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets

Yuxiang Wu, Matt Gardner, Pontus Stenetorp +1