Jingfeng Yang

Orcid: 0000-0001-9713-1792

Affiliations:
  • Amazon, Seattle, WA, USA
  • Georgia Institute of Technology, SALT Lab, Atlanta, GA, USA
  • Peking University, Key Laboratory of Computational Linguistics, Beijing, China


According to our database1, Jingfeng Yang authored at least 30 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.
ACM Trans. Knowl. Discov. Data, July, 2024

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models.
CoRR, 2024

Scaling Laws for Predicting Downstream Performance in LLMs.
CoRR, 2024

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.
CoRR, 2024

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.
CoRR, 2024

MEMORYLLM: Towards Self-Updatable Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Data Diversity Matters for Robust Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.
CoRR, 2023

Situated Natural Language Explanations.
CoRR, 2023

CCGen: Explainable Complementary Concept Generation in E-Commerce.
CoRR, 2023

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.
CoRR, 2023

Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning.
Proceedings of the ACM Web Conference 2023, 2023

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Vulnerabilities of Text-to-SQL Models.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Choice Fusion As Knowledge For Zero-Shot Dialogue State Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-VALUE: A Framework for Cross-Dialectal English NLP.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Multi-VALUE: A Framework for Cross-Dialectal English NLP.
CoRR, 2022

On the Security Vulnerabilities of Text-to-SQL Models.
CoRR, 2022

SUBS: Subtree Substitution for Compositional Semantic Parsing.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

TableFormer: Robust Transformer Modeling for Table-Text Encoding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
WIKIBIAS: Detecting Multi-Span Subjective Biases in Language.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic Parsing.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
A survey of cross-lingual features for zero-shot cross-lingual semantic parsing.
CoRR, 2019

2018
Chinese Discourse Segmentation Using Bilingual Discourse Commonality.
CoRR, 2018

Toward Fast and Accurate Neural Discourse Segmentation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017


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