Lifeng Shang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
87
Venues
21
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
87 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | EssayBench: Evaluating Large Language Models in Multi-Genre Chinese Essay Writing. | Fan Gao, Dongyuan Li, Ding Xia, Fei Mi, Yasheng Wang, Lifeng Shang, Baojun Wang |
| 2026 | AAAI | ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning. | Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu |
| 2026 | ACL | Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning. | Bowen Ding, Yuhan Chen, Jiayang Lyu, Jiyao Yuan, Qi Zhu, Shuangshuang Tian, Dantong Zhu, Futing Wang, Heyuan Deng, Fei Mi, Lifeng Shang, Tao Lin |
| 2026 | ACL | Discover and Prove: An Open-source Agentic Framework for Hard Mode Automated Theorem Proving in Lean 4. | Chengwu Liu, Yichun Yin, Ye Yuan, Jiaxuan Xie, Botao Li, Siqi Li, Jianhao Shen, Yan Xu, Lifeng Shang, Ming Zhang |
| 2026 | ACL | MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers. | Linrui Ma, Chun Hei Lo, Xinyu Wang, Peng Lu, Xihao Yuan, Hanting Chen, Kai Han, Xinghao Chen, Chengjun Zhan, Hanlin Xu, Yichun Yin, Lifeng Shang, Feng Wen, Boxing Chen, Yufei Cui |
| 2026 | ACL | Improved Policy Optimization for Mixture-of-Experts Models: Importance Sampling and Rewarding from an Expert-Centric Perspective. | Yining Qian, Jinpeng Li, Fei Mi, Lifeng Shang, Xiang Zhang |
| 2026 | ACL | How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study. | Zhexin Zhang, Xian Qi Loye, Victor Shea-Jay Huang, Junxiao Yang, Qi Zhu, Shiyao Cui, Fei Mi, Lifeng Shang, Yingkang Wang, Hongning Wang, Minlie Huang |
| 2026 | DASFAA | FORCE: A Benchmark for Formula Reasoning and Comprehension in Academic Papers. | Huikang Hu, Tianhao Zhang, Xinbang Dai, Xiaoli Shen, Guilin Qi, Yuyang Zhang, Xiaoguang Li, Lifeng Shang |
| 2026 | EACL | Process Evaluation for Agentic Systems. | Milan Gritta, Debjit Paul, Xiaoguang Li, Lifeng Shang, Jun Wang, Gerasimos Lampouras |
| 2025 | ACL | Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification. | Chengwu Liu, Ye Yuan, Yichun Yin, Yan Xu, Xin Xu, Zaoyu Chen, Yasheng Wang, Lifeng Shang, Qun Liu, Ming Zhang |
| 2025 | ACL | Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction. | Yuxin Jiang, Yufei Wang, Chuhan Wu, Xinyi Dai, Yan Xu, Weinan Gan, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang |
| 2025 | ACL | Learning to Align Multi-Faceted Evaluation: A Unified and Robust Framework. | Kaishuai Xu, Tiezheng Yu, Yi Cheng, Wenjun Hou, Liangyou Li, Xin Jiang, Lifeng Shang, Qun Liu, Wenjie Li |
| 2025 | ACL | Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing. | Kaishuai Xu, Tiezheng Yu, Wenjun Hou, Yi Cheng, Chak Tou Leong, Liangyou Li, Xin Jiang, Lifeng Shang, Qun Liu, Wenjie Li |
| 2025 | ACL | Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning. | Erxin Yu, Jing Li, Ming Liao, Qi Zhu, Boyang Xue, Minghui Xu, Baojun Wang, Lanqing Hong, Fei Mi, Lifeng Shang |
| 2025 | ACL | Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge. | Qiyuan Zhang, Yufei Wang, Yuxin Jiang, Liangyou Li, Chuhan Wu, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma |
| 2025 | EMNLP | Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning. | Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong |
| 2025 | EMNLP | More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression. | Jiebin Zhang, Dawei Zhu, Yifan Song, Wenhao Wu, Chuqiao Kuang, Xiaoguang Li, Lifeng Shang, Qun Liu, Sujian Li |
| 2025 | ICLR | Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization. | Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang |
| 2025 | ICLR | ToolACE: Winning the Points of LLM Function Calling. | Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen |
| 2025 | ICLR | RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. | Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma |
| 2025 | ICML | Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape. | Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang |
| 2025 | NAACL | ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis. | Zezhong Wang, Xingshan Zeng, Weiwen Liu, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong |
| 2025 | NAACL | Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step. | Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong |
| 2024 | AAAI | Preparing Lessons for Progressive Training on Language Models. | Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu |
| 2024 | ACL | Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios. | Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruifeng Xu, Qun Liu |
| 2024 | ACL | FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models. | Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang |
| 2024 | ACL | Learning to Edit: Aligning LLMs with Knowledge Editing. | Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang |
| 2024 | ACL | Prompt-Based Length Controlled Generation with Multiple Control Types. | Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu |
| 2024 | ACL | M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models. | Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Yuxin Jiang, Lifeng Shang, Qun Liu, Kam-Fai Wong |
| 2024 | ACL | ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models. | Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song |
| 2024 | COLING | Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. | Xinshuo Hu, Dongfang Li, Xiaoguang Li, Yuxiang Wu, Lifeng Shang, Baotian Hu |
| 2024 | EMNLP | MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models. | Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong |
| 2024 | ICLR | Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. | Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang, Xin Jiang, Qun Liu |
| 2024 | ICLR | Retrieval-based Disentangled Representation Learning with Natural Language Supervision. | Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Lei Chen |
| 2024 | NAACL | Visually Guided Generative Text-Layout Pre-training for Document Intelligence. | Zhiming Mao, Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong |
| 2023 | AAAI | Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. | Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang |
| 2023 | ACL | mCLIP: Multilingual CLIP via Cross-lingual Transfer. | Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang |
| 2023 | ACL | NewsDialogues: Towards Proactive News Grounded Conversation. | Siheng Li, Yichun Yin, Cheng Yang, Wangjie Jiang, Yiwei Li, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang |
| 2023 | ACL | AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models. | Siheng Li, Cheng Yang, Yichun Yin, Xinyu Zhu, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang |
| 2023 | ACL | Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models. | Rui Wang, Jianzhu Bao, Fei Mi, Yi Chen, Hongru Wang, Yasheng Wang, Yitong Li, Lifeng Shang, Kam-Fai Wong, Ruifeng Xu |
| 2023 | EMNLP | Gradually Excavating External Knowledge for Implicit Complex Question Answering. | Chang Liu, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Edmund Y. Lam, Ngai Wong |
| 2023 | EMNLP | Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment. | Boyang Xue, Weichao Wang, Hongru Wang, Fei Mi, Rui Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong |
| 2022 | ACL | Read before Generate! Faithful Long Form Question Answering with Machine Reading. | Dan Su, Xiaoguang Li, Jindi Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung |
| 2022 | ACL | MTRec: Multi-Task Learning over BERT for News Recommendation. | Qiwei Bi, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Hanfang Yang |
| 2022 | ACL | bert2BERT: Towards Reusable Pretrained Language Models. | Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu |
| 2022 | ACL | Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation. | Wenliang Dai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung |
| 2022 | ACL | Controlled Text Generation Using Dictionary Prior in Variational Autoencoders. | Xianghong Fang, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Dit-Yan Yeung |
| 2022 | ACL | How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis. | Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu |
| 2022 | ACL | MINER: Multi-Interest Matching Network for News Recommendation. | Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu |
| 2022 | ACL | Compression of Generative Pre-trained Language Models via Quantization. | Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong |
| 2022 | ACL | Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering. | Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Lan Luo, Ke Zhan, Enrui Hu, Xinyu Zhang, Hao Jiang, Zhao Cao, Fan Yu, Xin Jiang, Qun Liu, Lei Chen |
| 2022 | EMNLP | LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. | Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu |
| 2022 | EMNLP | Pre-training Language Models with Deterministic Factual Knowledge. | Shaobo Li, Xiaoguang Li, Lifeng Shang, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu |
| 2022 | EMNLP | G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. | Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu |
| 2022 | EMNLP | Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation. | Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Fei Mi, Yasheng Wang, Lifeng Shang, Minlie Huang |
| 2022 | ICLR | Exploring extreme parameter compression for pre-trained language models. | Benyou Wang, Yuxin Ren, Lifeng Shang, Xin Jiang, Qun Liu |
| 2021 | AAAI | HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. | Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu |
| 2021 | AAAI | Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation. | Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang |
| 2021 | ACL | BinaryBERT: Pushing the Limit of BERT Quantization. | Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King |
| 2021 | ACL | GhostBERT: Generate More Features with Cheap Operations for BERT. | Zhiqi Huang, Lu Hou, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu |
| 2021 | ACL | A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering. | Zhihong Shao, Lifeng Shang, Qun Liu, Minlie Huang |
| 2021 | ACL | AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models. | Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu |
| 2021 | EMNLP | Improving Unsupervised Question Answering via Summarization-Informed Question Generation. | Chenyang Lyu, Lifeng Shang, Yvette Graham, Jennifer Foster, Xin Jiang, Qun Liu |
| 2021 | EMNLP | Generate & Rank: A Multi-task Framework for Math Word Problems. | Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu |
| 2021 | EMNLP | DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling. | Baojun Wang, Zhao Zhang, Kun Xu, Guang-Yuan Hao, Yuyang Zhang, Lifeng Shang, Linlin Li, Xiao Chen, Xin Jiang, Qun Liu |
| 2021 | ICANN | Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation. | Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu |
| 2021 | ICLR | On Position Embeddings in BERT. | Benyou Wang, Lifeng Shang, Christina Lioma, Xin Jiang, Hao Yang, Qun Liu, Jakob Grue Simonsen |
| 2021 | ICLR | Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. | Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma |
| 2021 | ICML | Improved OOD Generalization via Adversarial Training and Pretraing. | Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma |
| 2021 | MDM | Dual Sequence Transformer for Query-based Interactive Recommendation. | Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang |
| 2020 | AAAI | Dialog State Tracking with Reinforced Data Augmentation. | Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu |
| 2020 | EMNLP | TinyBERT: Distilling BERT for Natural Language Understanding. | Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu |
| 2020 | EMNLP | TernaryBERT: Distillation-aware Ultra-low Bit BERT. | Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu |
| 2020 | Interspeech | An Investigation of Few-Shot Learning in Spoken Term Classification. | Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, Qing Li |
| 2020 | KDD | Neural Subgraph Isomorphism Counting. | Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang, Lifeng Shang |
| 2019 | ACL | Decomposable Neural Paraphrase Generation. | Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu |
| 2018 | EMNLP | Paraphrase Generation with Deep Reinforcement Learning. | Zichao Li, Xin Jiang, Lifeng Shang, Hang Li |
| 2017 | AAAI | Neural Machine Translation with Reconstruction. | Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li |
| 2016 | IJCAI | Neural Generative Question Answering. | Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li |
| 2015 | ACL | Neural Responding Machine for Short-Text Conversation. | Lifeng Shang, Zhengdong Lu, Hang Li |
| 2015 | ICCV | Multimodal Convolutional Neural Networks for Matching Image and Sentence. | Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li |
| 2012 | ECCV | Mode Seeking with an Adaptive Distance Measure. | Guodong Pan, Lifeng Shang, Dirk Schnieders, Kwan-Yee Kenneth Wong |
| 2011 | ISVC | DTTM: A Discriminative Temporal Topic Model for Facial Expression Recognition. | Lifeng Shang, Kwok-Ping Chan, Guodong Pan |
| 2010 | ACCV | A Temporal Latent Topic Model for Facial Expression Recognition. | Lifeng Shang, Kwok-Ping Chan |
| 2009 | CIKM | Collaborative resource discovery in social tagging systems. | Bin Bi, Lifeng Shang, Ben Kao |
| 2009 | CVPR | Nonparametric discriminant HMM and application to facial expression recognition. | Lifeng Shang, Kwok-Ping Chan |
| 2008 | ICMLA | Temporal Exemplar-Based Bayesian Networks for Facial Expression Recognition. | Lifeng Shang, Kwok-Ping Chan |