Kaiqiang Song

Orcid: 0000-0001-8203-9723

According to our database1, Kaiqiang Song authored at least 38 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs.
CoRR, 2024

SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization.
CoRR, 2024

InFoBench: Evaluating Instruction Following Ability in Large Language Models.
CoRR, 2024

Event Semantic Classification in Context.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention.
CoRR, 2023

MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning.
CoRR, 2023

Unsupervised Multi-document Summarization with Holistic Inference.
CoRR, 2023

Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models.
CoRR, 2023

PIVOINE: Instruction Tuning for Open-world Information Extraction.
CoRR, 2023

Analyzing Influential Factors in Human Preference Judgments via GPT-4.
CoRR, 2023

Open-Domain Event Graph Induction for Mitigating Framing Bias.
CoRR, 2023

PIVOINE: Instruction Tuning for Open-world Entity Profiling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

OASum: Large-Scale Open Domain Aspect-based Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Generating User-Engaging News Headlines.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Effidit: An Assistant for Improving Writing Efficiency.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
Towards Abstractive Grounded Summarization of Podcast Transcripts.
CoRR, 2022

Meta-learning without data via Wasserstein distributionally-robust model fusion.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Salience Allocation as Guidance for Abstractive Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Toward Unifying Text Segmentation and Long Document Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Towards Abstractive Grounded Summarization of Podcast Transcripts.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
AGCDetNet: An Attention-Guided Network for Building Change Detection in High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

An Efficient Lightweight Neural Network for Remote Sensing Image Change Detection.
Remote. Sens., 2021

CATE: Computation-aware Neural Architecture Encoding with Transformers.
CoRR, 2021

A New Approach to Overgenerating and Scoring Abstractive Summaries.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CATE: Computation-aware Neural Architecture Encoding with Transformers.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Automatic Summarization of Open-Domain Podcast Episodes.
CoRR, 2020

Automatic Summarization of Open-Domain Podcast Episodes.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Better Highlighting: Creating Sub-Sentence Summary Highlights.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Controlling the Amount of Verbatim Copying in Abstractive Summarization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Joint Parsing and Generation for Abstractive Summarization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Scoring Sentence Singletons and Pairs for Abstractive Summarization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Structure-Infused Copy Mechanisms for Abstractive Summarization.
Proceedings of the 27th International Conference on Computational Linguistics, 2018


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