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05/24/2023
CSTS: Conditional Semantic Textual Similarity
Semantic textual similarity (STS) has been a cornerstone task in NLP tha...
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05/24/2023
Enabling Large Language Models to Generate Text with Citations
Large language models (LLMs) have emerged as a widely-used tool for info...
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10/11/2022
A Kernel-Based View of Language Model Fine-Tuning
It has become standard to solve NLP tasks by fine-tuning pre-trained lan...
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05/25/2022
Refining Query Representations for Dense Retrieval at Test Time
Dense retrieval uses a contrastive learning framework to learn dense rep...
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05/25/2022
Training Language Models with Memory Augmentation
Recent work has improved language models remarkably by equipping them wi...
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05/25/2022
Generating Natural Language Proofs with Verifier-Guided Search
Deductive reasoning (drawing conclusions from assumptions) is a challeng...
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04/18/2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
This paper presents SimCSE, a simple contrastive learning framework that...
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04/12/2021
Factual Probing Is [MASK]: Learning vs. Learning to Recall
Petroni et al. (2019) demonstrated that it is possible to retrieve world...
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04/10/2020
Dense Passage Retrieval for Open-Domain Question Answering
Open-domain question answering relies on efficient passage retrieval to ...
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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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07/26/2019
