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Michihiro Yasunaga

Papers
19

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19papers

Authored papers

19

Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

arXiv 2025

2025

AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning

arXiv 2024

2024

BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

arXiv 2024

2024

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

arXiv 2024

2024

Med-Flamingo: a Multimodal Medical Few-shot Learner

arXiv 2023

2023

Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models

arXiv 2023

2023

Zero-shot causal learning

zero-shot-causal-learning

2023

Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts

arXiv 2023

2023

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

TMLR

2022

Deep Bidirectional Language-Knowledge Graph Pretraining

arXiv 2022

2022

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

arXiv 2022

2022

GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

arXiv 2022

2022

LinkBERT: Pretraining Language Models with Document Links

ACL 2022 5

2022

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering

NAACL 2021 4

2021

LM-Critic: Language Models for Unsupervised Grammatical Error Correction

EMNLP 2021 11

2021

WILDS: A Benchmark of in-the-Wild Distribution Shifts

arXiv 2020

2020

SParC: Cross-Domain Semantic Parsing in Context

sparc-cross-domain-semantic-parsing-in-1

2019

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks

arXiv 2019

2019

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

spider-a-large-scale-human-labeled-dataset-1

2018

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