Kaiqiang Song

77 papers A* 12A 2B 1Journal 42Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
CM2: Reinforcement Learning with Checklist Rewards for Multi-Turn and Multi-Step Agentic Tool Use.
CoRR
Zhen Zhang, Kaiqiang Song, Xun Wang, Yebowen Hu, Weixiang Yan, Chenyang Zhao, Henry Peng Zou, Haoyun Deng, Sathish Reddy Indurthi, Shujian Liu, Simin Ma, Xiaoyang Wang, Xin Eric Wang, Song Wang
2025 J jnl
Aligning Multilingual Reasoning with Verifiable Semantics from a High-Resource Expert Model.
CoRR
Fahim Faisal, Kaiqiang Song, Song Wang, Simin Ma, Shujian Liu, Haoyun Deng, Sathish Reddy Indurthi
2025 J jnl
Communication to Completion: Modeling Collaborative Workflows with Intelligent Multi-Agent Communication.
CoRR
Yiming Lu, Xun Wang, Simin Ma, Shujian Liu, Sathish Reddy Indurthi, Song Wang, Haoyun Deng, Fei Liu, Kaiqiang Song
2025 J jnl
Complex Logical Instruction Generation.
CoRR
Mian Zhang, Shujian Liu, Sixun Dong, Ming Yin, Yebowen Hu, Xun Wang, Steven Ma, Song Wang, Sathish Reddy Indurthi, Haoyun Deng, Zhiyu Zoey Chen, Kaiqiang Song
2025 A* conf
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy.
ICLR
Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou
2025 J jnl
LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries.
CoRR
Ming Yin, Dinghan Shen, Silei Xu, Jianbing Han, Sixun Dong, Mian Zhang, Yebowen Hu, Shujian Liu, Simin Ma, Song Wang, Sathish Reddy Indurthi, Xun Wang, Yiran Chen, Kaiqiang Song
2025 J jnl
Multi-module GRPO: Composing Policy Gradients and Prompt Optimization for Language Model Programs.
CoRR
Noah Ziems, Dilara Soylu, Lakshya A. Agrawal, Isaac Miller, Liheng Lai, Chen Qian, Kaiqiang Song, Meng Jiang, Daniel Klein, Matei Zaharia, Karel D'Oosterlinck, Christopher Potts, Omar Khattab
2025 J jnl
TCIA: A Task-Centric Instruction Augmentation Method for Instruction Finetuning.
CoRR
Simin Ma, Shujian Liu, Jun Tan, Yebowen Hu, Song Wang, Sathish Reddy Indurthi, Sanqiang Zhao, Liwei Wu, Jianbing Han, Kaiqiang Song
2025 A* conf
VC4VG: Optimizing Video Captions for Text-to-Video Generation.
EMNLP
Yang Du, Zhuoran Lin, Kaiqiang Song, Biao Wang, Zhicheng Zheng, Tiezheng Ge, Bo Zheng, Qin Jin
2025 J jnl
VC4VG: Optimizing Video Captions for Text-to-Video Generation.
CoRR
Yang Du, Zhuoran Lin, Kaiqiang Song, Biao Wang, Zhicheng Zheng, Tiezheng Ge, Bo Zheng, Qin Jin
2024 — conf
Benchmarking and Improving Long-Text Translation with Large Language Models.
ACL (Findings)
Longyue Wang, Zefeng Du, Wenxiang Jiao, Chenyang Lyu, Jianhui Pang, Leyang Cui, Kaiqiang Song, Derek F. Wong, Shuming Shi, Zhaopeng Tu
2024 J jnl
Can Large Language Models do Analytical Reasoning?
CoRR
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
2024 — conf
Event Semantic Classification in Context.
EACL (Findings)
Haoyu Wang, Hongming Zhang, Kaiqiang Song, Dong Yu, Dan Roth
2024 — conf
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets.
EMNLP (Findings)
Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu
2024 J jnl
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets.
CoRR
Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu
2024 — conf
InFoBench: Evaluating Instruction Following Ability in Large Language Models.
ACL (Findings)
Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu
2024 J jnl
InFoBench: Evaluating Instruction Following Ability in Large Language Models.
CoRR
Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu
2024 J jnl
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy.
CoRR
Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou
2024 — conf
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning.
NAACL-HLT
Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu
2024 — conf
Polarity Calibration for Opinion Summarization.
NAACL-HLT
Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Ruihong Huang, Dong Yu
2024 J jnl
Polarity Calibration for Opinion Summarization.
CoRR
Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Ruihong Huang, Dong Yu
2024 J jnl
SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization.
CoRR
Sangwoo Cho, Kaiqiang Song, Chao Zhao, Xiaoyang Wang, Dong Yu
2024 — conf
Skills-in-Context: Unlocking Compositionality in Large Language Models.
EMNLP (Findings)
Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen
2024 — conf
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs.
ACL (1)
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
2024 J jnl
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs.
CoRR
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
2024 A* conf
WPO: Enhancing RLHF with Weighted Preference Optimization.
EMNLP
Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu
2024 J jnl
WPO: Enhancing RLHF with Weighted Preference Optimization.
CoRR
Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu
2024 A* conf
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives.
EMNLP
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu
2024 J jnl
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives.
CoRR
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu
2023 J jnl
Analyzing Influential Factors in Human Preference Judgments via GPT-4.
CoRR
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu
2023 A* conf
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations.
EMNLP
James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu
2023 J jnl
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations.
CoRR
James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu
2023 A* conf
DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4.
EMNLP
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu
2023 — conf
Effidit: An Assistant for Improving Writing Efficiency.
ACL (demo)
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
2023 — conf
Generating User-Engaging News Headlines.
ACL (1)
Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, Dong Yu
2023 A conf
How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method.
EACL
Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, Jianshu Chen
2023 J jnl
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning.
CoRR
Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu
2023 — conf
OASum: Large-Scale Open Domain Aspect-based Summarization.
ACL (Findings)
Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu
2023 J jnl
Open-Domain Event Graph Induction for Mitigating Framing Bias.
CoRR
Siyi Liu, Hongming Zhang, Hongwei Wang, Kaiqiang Song, Dan Roth, Dong Yu
2023 — conf
PIVOINE: Instruction Tuning for Open-world Entity Profiling.
EMNLP (Findings)
Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen
2023 J jnl
PIVOINE: Instruction Tuning for Open-world Information Extraction.
CoRR
Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen
2023 J jnl
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models.
CoRR
Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen
2023 — conf
Unsupervised Multi-document Summarization with Holistic Inference.
IJCNLP (Findings)
Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu
2023 J jnl
Unsupervised Multi-document Summarization with Holistic Inference.
CoRR
Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu
2023 J jnl
Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention.
CoRR
Kaiqiang Song, Xiaoyang Wang, Sangwoo Cho, Xiaoman Pan, Dong Yu
2022 — conf
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension.
ACL (2)
Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen
2022 J jnl
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension.
CoRR
Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen
2022 A conf
Meta-learning without data via Wasserstein distributionally-robust model fusion.
UAI
Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao
2022 — conf
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization.
EMNLP (Findings)
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
2022 J jnl
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization.
CoRR
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
2022 J jnl
OASum: Large-Scale Open Domain Aspect-based Summarization.
CoRR
Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu
2022 A* conf
Salience Allocation as Guidance for Abstractive Summarization.
EMNLP
Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu
2022 J jnl
Salience Allocation as Guidance for Abstractive Summarization.
CoRR
Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu
2022 A* conf
Toward Unifying Text Segmentation and Long Document Summarization.
EMNLP
Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu
2022 J jnl
Toward Unifying Text Segmentation and Long Document Summarization.
CoRR
Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu
2022 — conf
Towards Abstractive Grounded Summarization of Podcast Transcripts.
ACL (1)
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
2022 J jnl
Towards Abstractive Grounded Summarization of Podcast Transcripts.
CoRR
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
2021 — conf
A New Approach to Overgenerating and Scoring Abstractive Summaries.
NAACL-HLT
Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu
2021 J jnl
A New Approach to Overgenerating and Scoring Abstractive Summaries.
CoRR
Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu
2021 J jnl
AGCDetNet: An Attention-Guided Network for Building Change Detection in High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Kaiqiang Song, Jie Jiang
2021 J jnl
An Efficient Lightweight Neural Network for Remote Sensing Image Change Detection.
Remote. Sens.
Kaiqiang Song, Fengzhi Cui, Jie Jiang
2021 A* conf
CATE: Computation-aware Neural Architecture Encoding with Transformers.
ICML
Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang
2021 J jnl
CATE: Computation-aware Neural Architecture Encoding with Transformers.
CoRR
Shen Yan, Kaiqiang Song, Zhe Feng, Mi Zhang
2020 — conf
Automatic Summarization of Open-Domain Podcast Episodes.
TREC
Kaiqiang Song, Fei Liu, Chen Li, Xiaoyang Wang, Dong Yu
2020 J jnl
Automatic Summarization of Open-Domain Podcast Episodes.
CoRR
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Zhe Feng
2020 — conf
Better Highlighting: Creating Sub-Sentence Summary Highlights.
EMNLP (1)
Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
2020 J jnl
Better Highlighting: Creating Sub-Sentence Summary Highlights.
CoRR
Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
2020 A* conf
Controlling the Amount of Verbatim Copying in Abstractive Summarization.
AAAI
Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu
2020 A* conf
Joint Parsing and Generation for Abstractive Summarization.
AAAI
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu
2019 J jnl
Controlling the Amount of Verbatim Copying in Abstractive Summarization.
CoRR
Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu
2019 J jnl
Joint Parsing and Generation for Abstractive Summarization.
CoRR
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu
2019 — conf
Scoring Sentence Singletons and Pairs for Abstractive Summarization.
ACL (1)
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu
2019 J jnl
Scoring Sentence Singletons and Pairs for Abstractive Summarization.
CoRR
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu
2018 A* conf
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization.
EMNLP
Logan Lebanoff, Kaiqiang Song, Fei Liu
2018 J jnl
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization.
CoRR
Logan Lebanoff, Kaiqiang Song, Fei Liu
2018 B conf
Structure-Infused Copy Mechanisms for Abstractive Summarization.
COLING
Kaiqiang Song, Lin Zhao, Fei Liu
2018 J jnl
Structure-Infused Copy Mechanisms for Abstractive Summarization.
CoRR
Kaiqiang Song, Lin Zhao, Fei Liu