Yifan Gao

Orcid: 0000-0002-1881-4577

Affiliations:

Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
Beihang University, School of Electronic and Information Engineering, Beijing, China

According to our database¹, Yifan Gao authored at least 28 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Scaling Laws for Predicting Downstream Performance in LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

MEMORYLLM: Towards Self-Updatable Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Improving task generalization via unified schema prompt.

[BibT_eX]

[DOI]

AI Open, January, 2023

Situated Natural Language Explanations.

[BibT_eX]

[DOI]

CoRR, 2023

CCGen: Explainable Complementary Concept Generation in E-Commerce.

[BibT_eX]

[DOI]

Kevin Chen-Chuan Chang

Bing Yin

CoRR, 2023

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Graph Reasoning for Question Answering with Triplet Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense.

[BibT_eX]

[DOI]

CoRR, 2022

Query Attribute Recommendation at Amazon Search.

[BibT_eX]

[DOI]

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

ProQA: Structural Prompt-based Pre-training for Unified Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021

Open-Retrieval Conversational Machine Reading.

[BibT_eX]

[DOI]

CoRR, 2021

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction.

[BibT_eX]

[DOI]

Yifan Gao

Henghui Zhu

Patrick Ng

Cícero Nogueira dos Santos

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.

[BibT_eX]

[DOI]

CoRR, 2020

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Difficulty Controllable Generation of Reading Comprehension Questions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Improving Question Generation With to the Point Context.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Generating Distractors for Reading Comprehension Questions from Real Examinations.

[BibT_eX]

[DOI]

Yifan Gao