Jifan Chen | DeepAI

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∙ 05/24/2023

Using Natural Language Explanations to Rescale Human Judgments

The rise of large language models (LLMs) has brought a critical need for...

0 Manya Wadhwa, et al. ∙

∙ 05/19/2023

Complex Claim Verification with Evidence Retrieved in the Wild

Evidence retrieval is a core part of automatic fact-checking. Prior work...

0 Jifan Chen, et al. ∙

∙ 12/17/2022

Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations

There has been great progress in unifying various table-to-text tasks us...

0 Jifan Chen, et al. ∙

∙ 06/29/2022

longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks

Developing methods to adversarially challenge NLP systems is a promising...

0 Venelin Kovatchev, et al. ∙

∙ 05/14/2022

Generating Literal and Implied Subquestions to Fact-check Complex Claims

Verifying complex political claims is a challenging task, especially whe...

0 Jifan Chen, et al. ∙

∙ 04/18/2021

Can NLI Models Verify QA Systems' Predictions?

To build robust question answering systems, we need the ability to verif...

0 Jifan Chen, et al. ∙

∙ 04/30/2020

Robust Question Answering Through Sub-part Alignment

Current textual question answering models achieve strong performance on ...

0 Jifan Chen, et al. ∙

∙ 10/07/2019

Multi-hop Question Answering via Reasoning Chains

Multi-hop question answering requires models to gather information from ...

0 Jifan Chen, et al. ∙

∙ 04/27/2019

Understanding Dataset Design Choices for Multi-hop Reasoning

Learning multi-hop reasoning has been a key challenge for reading compre...

0 Jifan Chen, et al. ∙

∙ 08/20/2016

Learning Word Embeddings from Intrinsic and Extrinsic Views

While word embeddings are currently predominant for natural language pro...

0 Jifan Chen, et al. ∙

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