- Generation-Augmented Retrieval for Open-Domain Question Answering, ACL 2019, https://aclanthology.org/2021.acl-long.316.pdf
- Dense Passage Retrieval for Open-Domain Question Answering, EMNLP 2020, https://aclanthology.org/2020.emnlp-main.550.pdf
- On Efficient Retrieval of Top Similarity Vectors, EMNLP 2021, https://aclanthology.org/D19-1527.pdf
- Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer, EMNLP 2022, https://arxiv.org/pdf/2212.02027.pdf
- Latent Retrieval for Weakly Supervised Open Domain Question Answering, ACL 2019, https://aclanthology.org/P19-1612.pdf
- Dense X Retrieval: What Retrieval Granularity Should We Use?, preprint, https://arxiv.org/pdf/2312.06648.pdf
- Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?, EMNLP 2022, https://aclanthology.org/2022.findings-emnlp.19.pdf
- Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations, preprint, https://arxiv.org/pdf/2311.04335.pdf (new 2023-02-12)
- Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering, EACL 2021, https://aclanthology.org/2021.eacl-main.74.pdf (new 2023-02-12)
- Phrase Retrieval Learns Passage Retrieval, Too, EMNLP 2021, https://aclanthology.org/2021.emnlp-main.297.pdf (new 2023-02-12)
- Large Language Models Can Be Easily Distracted by Irrelevant Context, ICML, 2023, https://arxiv.org/pdf/2302.00093.pdf (new 2023-02-12)
- Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks, NAACL 2021, https://arxiv.org/pdf/2010.08240.pdf (new 2023-02-12)
- Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling, SIGIR 2021, https://arxiv.org/pdf/2104.06967.pdf (new 2023-02-12)
- Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling, EMNLP 2022, https://aclanthology.org/2022.emnlp-main.667.pdf
- Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization, ACL 2023, https://aclanthology.org/2023.findings-acl.402.pdf
- FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization, ACL 2020, https://aclanthology.org/2020.acl-main.454.pdf
- Evaluating Factuality in Generation with Dependency-level Entailment (DAE), EMNLP 2020, https://aclanthology.org/2020.findings-emnlp.322.pdf
- Factual Error Correction for Abstractive Summaries Using Entity Retrieval, GEM workshop 2022, https://aclanthology.org/2022.gem-1.41.pdf
- On Faithfulness and Factuality in Abstractive Summarization, ACL 2020, https://aclanthology.org/2020.acl-main.173.pdf
- FACTGRAPH: Evaluating Factuality in Summarization with Semantic Graph Representations, NAACL 2022, https://aclanthology.org/2022.naacl-main.236.pdf
- Improved Natural Language Generation via Loss Truncation, ACL 2020, https://aclanthology.org/2020.acl-main.66.pdf (new 2023-02-12)
- USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation, ACL 2020, https://aclanthology.org/2020.acl-main.64.pdf (new 2023-02-12)
- Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation Model, NAACL 2021, https://aclanthology.org/2021.naacl-main.120.pdf
- News Summarization and Evaluation in the Era of GPT-3, preprint, https://arxiv.org/pdf/2209.12356.pdf
- Summarization is (Almost) Dead, preprint, https://arxiv.org/pdf/2309.09558.pdf
- BRIO: Bringing Order to Abstractive Summarization, ACL 2022, https://arxiv.org/pdf/2203.16804.pdf
- T5
- mT5
- mBART
- Electra
- Mistral
- Llama
- Llama-2