works on

From the 1 of 27 linked papers with an AI index.

activity
20162023
most citedREALM: Retrieval-Augmented Language Model Pre-Training

521 citations · 1.6k across the 20 of their papers we have counts for

collaborators

27 papers

cs.CL2023★ 6 cited

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference

Tao Lei, Junwen Bai, Siddhartha Brahma +9

We propose Conditional Adapter (CoDA), a parameter-efficient transfer learning method that also improves inference efficiency. CoDA generalizes beyond standard adapter approaches t…

cs.CL2022

MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering

Fangyu Liu, Francesco Piccinno, Syrine Krichene +6

Visual language data such as plots, charts, and infographics are ubiquitous in the human world. However, state-of-the-art vision-language models do not perform well on these data.…

cs.CL2021★ 37 cited

Neural Data Augmentation via Example Extrapolation

Kenton Lee, Kelvin Guu, Luheng He +2

In many applications of machine learning, certain categories of examples may be underrepresented in the training data, causing systems to underperform on such "few-shot" cases at t…

cs.CL2021★ 64 cited

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

Sewon Min, Jordan Boyd-Graber, Chris Alberti +50

We review the EfficientQA competition from NeurIPS 2020. The competition focused on open-domain question answering (QA), where systems take natural language questions as input and…

cs.CL2020★ 4 cited

CapWAP: Captioning with a Purpose

Adam Fisch, Kenton Lee, Ming-Wei Chang +2

The traditional image captioning task uses generic reference captions to provide textual information about images. Different user populations, however, will care about different vi…

cs.CL2020★ 5 cited

XOR QA: Cross-lingual Open-Retrieval Question Answering

Akari Asai, Jungo Kasai, Jonathan H. Clark +3

Multilingual question answering tasks typically assume answers exist in the same language as the question. Yet in practice, many languages face both information scarcity -- where l…