activity
20182025
most citedLearning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

146 citations · 464 across the 26 of their papers we have counts for

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Showing 2023 · cs.CLShow all

5 papers · 2 filters

cs.CL2023★ 94 cited

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

Akari Asai, Zeqiu Wu, Yizhong Wang +2

Despite their remarkable capabilities, large language models (LLMs) often produce responses containing factual inaccuracies due to their sole reliance on the parametric knowledge t…

cs.CL2023★ 8 cited

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

Akari Asai, Sneha Kudugunta, Xinyan Velocity Yu +6

Despite remarkable advancements in few-shot generalization in natural language processing, most models are developed and evaluated primarily in English. To facilitate research on f…

cs.CL2023★ 2 cited

xPQA: Cross-Lingual Product Question Answering across 12 Languages

Xiaoyu Shen, Akari Asai, Bill Byrne +1

Product Question Answering (PQA) systems are key in e-commerce applications to provide responses to customers' questions as they shop for products. While existing work on PQA focus…

cs.CL2023★ 8 cited

AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages

Odunayo Ogundepo, Tajuddeen R. Gwadabe, Clara E. Rivera +49

African languages have far less in-language content available digitally, making it challenging for question answering systems to satisfy the information needs of users. Cross-lingu…

cs.CL2023

TaskWeb: Selecting Better Source Tasks for Multi-task NLP

Joongwon Kim, Akari Asai, Gabriel Ilharco +1

Recent work in NLP has shown promising results in training models on large amounts of tasks to achieve better generalization. However, it is not well-understood how tasks are relat…