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06/02/2023
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Language models (LMs) often exhibit undesirable text generation behavior...
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05/27/2023
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
Large-scale vision language (VL) models use Transformers to perform cros...
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05/23/2023
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Evaluating the factuality of long-form text generated by large language ...
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04/27/2023
DataComp: In search of the next generation of multimodal datasets
Large multimodal datasets have been instrumental in recent breakthroughs...
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03/16/2023
ART: Automatic multi-step reasoning and tool-use for large language models
Large language models (LLMs) can perform complex reasoning in few- and z...
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11/16/2022
Task-aware Retrieval with Instructions
We study the problem of retrieval with instructions, where users of a re...
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10/25/2022
SciFact-Open: Towards open-domain scientific claim verification
While research on scientific claim verification has led to the developme...
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07/02/2022
INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions
In an information-seeking conversation, a user converses with an agent t...
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05/24/2022
Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing
This work introduces ATTEMPT (Attentional Mixture of Prompt Tuning), a n...
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12/02/2021
LongChecker: Improving scientific claim verification by modeling full-abstract context
We introduce the LongChecker system for scientific claim verification. G...
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12/01/2021
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
Communicating with humans is challenging for AIs because it requires a s...
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09/16/2021
Reframing Instructional Prompts to GPTk's Language
How can model designers turn task instructions into effective prompts fo...
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09/04/2021
Robust fine-tuning of zero-shot models
Large pre-trained models such as CLIP offer consistent accuracy across a...
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04/18/2021
Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions
Can we enable NLP models to appropriately respond to instructional promp...
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04/17/2021
Joint Passage Ranking for Diverse Multi-Answer Retrieval
We study multi-answer retrieval, an under-explored problem that requires...
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03/24/2021
NaturalProofs: Mathematical Theorem Proving in Natural Language
Understanding and creating mathematics using natural mathematical langua...
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11/13/2020
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions
Humans often have to read multiple documents to address their informatio...
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10/12/2020
MedICaT: A Dataset of Medical Images, Captions, and Textual References
Understanding the relationship between figures and text is key to scient...
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04/22/2020
AmbigQA: Answering Ambiguous Open-domain Questions
Ambiguity is inherent to open-domain question answering; especially when...
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02/15/2020
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
Fine-tuning pretrained contextual word embedding models to supervised do...
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11/10/2019
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
This paper presents a general approach for open-domain question answerin...
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05/30/2019
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
We introduce a large-scale dataset of math word problems and an interpre...
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04/20/2018
