Kaiqiang Song

According to our database, Kaiqiang Song authored at least 45 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy.

Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou

CoRR, 2024

Can Large Language Models do Analytical Reasoning?

Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu

CoRR, 2024

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

Sangwoo Cho, Kaiqiang Song, Chao Zhao, Xiaoyang Wang, Dong Yu

CoRR, 2024

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

Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Polarity Calibration for Opinion Summarization.

Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Ruihong Huang, Dong Yu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

WPO: Enhancing RLHF with Weighted Preference Optimization.

Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu

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

Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets.

Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives.

Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu

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

Skills-in-Context: Unlocking Compositionality in Large Language Models.

Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Event Semantic Classification in Context.

Haoyu Wang, Hongming Zhang, Kaiqiang Song, Dong Yu, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Benchmarking and Improving Long-Text Translation with Large Language Models.

Longyue Wang, Zefeng Du, Wenxiang Jiao, Chenyang Lyu, Jianhui Pang, Leyang Cui, Kaiqiang Song, Derek F. Wong, Shuming Shi, Zhaopeng Tu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

InFoBench: Evaluating Instruction Following Ability in Large Language Models.

Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

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

Kaiqiang Song, Xiaoyang Wang, Sangwoo Cho, Xiaoman Pan, Dong Yu

CoRR, 2023

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

Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen

CoRR, 2023

PIVOINE: Instruction Tuning for Open-world Information Extraction.

Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen

CoRR, 2023

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

Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu

CoRR, 2023

Open-Domain Event Graph Induction for Mitigating Framing Bias.

Siyi Liu, Hongming Zhang, Hongwei Wang, Kaiqiang Song, Dan Roth, Dong Yu

CoRR, 2023

Unsupervised Multi-document Summarization with Holistic Inference.

Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

PIVOINE: Instruction Tuning for Open-world Entity Profiling.

Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen

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.

James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4.

Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu

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.

Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, Jianshu Chen

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

OASum: Large-Scale Open Domain Aspect-based Summarization.

Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu

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

Generating User-Engaging News Headlines.

Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, Dong Yu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Effidit: An Assistant for Improving Writing Efficiency.

Shuming Shi, Enbo Zhao, Wei Bi, Deng Cai, Leyang Cui, Xinting Huang, Haiyun Jiang, Duyu Tang, Kaiqiang Song, Longyue Wang, Chenyan Huang, Guoping Huang, Yan Wang, Piji Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Meta-learning without data via Wasserstein distributionally-robust model fusion.

Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao

Proceedings of the Uncertainty in Artificial Intelligence, 2022

NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization.

Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi

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

Salience Allocation as Guidance for Abstractive Summarization.

Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Toward Unifying Text Segmentation and Long Document Summarization.

Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension.

Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Towards Abstractive Grounded Summarization of Podcast Transcripts.

Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu

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.

Kaiqiang Song, Jie Jiang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

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

Kaiqiang Song, Fengzhi Cui, Jie Jiang

Remote. Sens., 2021

CATE: Computation-aware Neural Architecture Encoding with Transformers.

Shen Yan, Kaiqiang Song, Zhe Feng, Mi Zhang

CoRR, 2021

A New Approach to Overgenerating and Scoring Abstractive Summaries.

Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu

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.

Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Automatic Summarization of Open-Domain Podcast Episodes.

Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Zhe Feng

CoRR, 2020

Automatic Summarization of Open-Domain Podcast Episodes.

Kaiqiang Song, Fei Liu, Chen Li, Xiaoyang Wang, Dong Yu

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Better Highlighting: Creating Sub-Sentence Summary Highlights.

Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu

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

Controlling the Amount of Verbatim Copying in Abstractive Summarization.

Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Joint Parsing and Generation for Abstractive Summarization.

Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Scoring Sentence Singletons and Pairs for Abstractive Summarization.

Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu

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.

Logan Lebanoff, Kaiqiang Song, Fei Liu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Structure-Infused Copy Mechanisms for Abstractive Summarization.

Kaiqiang Song, Lin Zhao, Fei Liu

Proceedings of the 27th International Conference on Computational Linguistics, 2018