Use relative weight to improve the kNN for unbalanced text category. - Xiaodong Liu 003; Fuji Ren; Caixia Yuan (NLPKE, 2010)

A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking. - Xiaodong Liu 003; Kevin Cheng; Yanyan Luo; Kevin Duh; Yuji Matsumoto 001 (SIGHAN@IJCNLP, 2013)

Topic Models + Word Alignment = A Flexible Framework for Extracting Bilingual Dictionary from Comparable Corpus. - Xiaodong Liu 003; Kevin Duh; Yuji Matsumoto 001 (CoNLL, 2013)

Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval. - Xiaodong Liu 003; Jianfeng Gao 001; Xiaodong He 001; Li Deng 001; Kevin Duh; Ye-Yi Wang (HLT-NAACL, 2015)

A Hybrid Ranking Approach to Chinese Spelling Check. - Xiaodong Liu 003; Fei Cheng 002; Kevin Duh; Yuji Matsumoto 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2015)

Multilingual Topic Models for Bilingual Dictionary Extraction. - Xiaodong Liu 003; Kevin Duh; Yuji Matsumoto 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2015)

Lexical Simplification with the Deep Structured Similarity Model. - Lis Pereira; Xiaodong Liu 003; John Lee (IJCNLP(2), 2017)

An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. - Yelong Shen; Xiaodong Liu 003; Kevin Duh; Jianfeng Gao 001 (IJCNLP(1), 2017)

Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies. - Yichong Xu; Jingjing Liu 001; Jianfeng Gao 001; Yelong Shen; Xiaodong Liu 003 (CoRR, 2017)

Stochastic Answer Networks for Machine Reading Comprehension. - Xiaodong Liu 003; Yelong Shen; Kevin Duh; Jianfeng Gao 001 (ACL (1), 2018)

Language-Based Image Editing With Recurrent Attentive Models. - Jianbo Chen; Yelong Shen; Jianfeng Gao 001; Jingjing Liu 001; Xiaodong Liu 003 (CVPR, 2018)

Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models. - Minjia Zhang; Wenhan Wang; Xiaodong Liu 003; Jianfeng Gao 001; Yuxiong He (NeurIPS, 2018)

Stochastic Answer Networks for Natural Language Inference. - Xiaodong Liu 003; Kevin Duh; Jianfeng Gao 001 (CoRR, 2018)

Multi-Task Learning for Machine Reading Comprehension. - Yichong Xu; Xiaodong Liu 003; Yelong Shen; Jingjing Liu 001; Jianfeng Gao 001 (CoRR, 2018)

Stochastic Answer Networks for SQuAD 2.0. - Xiaodong Liu 003; Wei Li; Yuwei Fang; Aerin Kim; Kevin Duh; Jianfeng Gao 001 (CoRR, 2018)

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. - Sheng Zhang 012; Xiaodong Liu 003; Jingjing Liu 001; Jianfeng Gao 001; Kevin Duh; Benjamin Van Durme (CoRR, 2018)

Multi-Task Deep Neural Networks for Natural Language Understanding. - Xiaodong Liu 003; Pengcheng He; Weizhu Chen; Jianfeng Gao 001 (ACL (1), 2019)

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. - Lianhui Qin; Michel Galley; Chris Brockett; Xiaodong Liu 003; Xiang Gao 011; Bill Dolan; Yejin Choi 001; Jianfeng Gao 001 (ACL (1), 2019)

DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. - Yichong Xu; Xiaodong Liu 003; Chunyuan Li; Hoifung Poon; Jianfeng Gao 001 (BioNLP@ACL, 2019)

A Hybrid Retrieval-Generation Neural Conversation Model. - Liu Yang 005; Junjie Hu 001; Minghui Qiu; Chen Qu 001; Jianfeng Gao 001; W. Bruce Croft; Xiaodong Liu 003; Yelong Shen; Jingjing Liu 001 (CIKM, 2019)

Adversarial Domain Adaptation for Machine Reading Comprehension. - Huazheng Wang; Zhe Gan; Xiaodong Liu 003; Jingjing Liu 001; Jianfeng Gao 001; Hongning Wang (EMNLP/IJCNLP (1), 2019)

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. - Hao Fu 002; Chunyuan Li; Xiaodong Liu 003; Jianfeng Gao 001; Asli Celikyilmaz; Lawrence Carin (NAACL-HLT (1), 2019)

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. - Shuohang Wang; Sheng Zhang 012; Yelong Shen; Xiaodong Liu 003; Jingjing Liu 001; Jianfeng Gao 001; Jing Jiang 001 (NAACL-HLT (1), 2019)

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension. - Yichong Xu; Xiaodong Liu 003; Yelong Shen; Jingjing Liu 001; Jianfeng Gao 001 (NAACL-HLT (1), 2019)

Unified Language Model Pre-training for Natural Language Understanding and Generation. - Li Dong 004; Nan Yang 002; Wenhui Wang 003; Furu Wei; Xiaodong Liu 003; Yu Wang 009; Jianfeng Gao 001; Ming Zhou 001; Hsiao-Wuen Hon (NeurIPS, 2019)

Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding. - Xiaodong Liu 003; Pengcheng He; Weizhu Chen; Jianfeng Gao 001 (CoRR, 2019)

A Hybrid Neural Network Model for Commonsense Reasoning. - Pengcheng He; Xiaodong Liu 003; Weizhu Chen; Jianfeng Gao 001 (CoRR, 2019)

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. - Haoming Jiang; Pengcheng He; Weizhu Chen; Xiaodong Liu 003; Jianfeng Gao 001; Tuo Zhao (ACL, 2020)

The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. - Xiaodong Liu 003; Yu Wang 009; Jianshu Ji; Hao Cheng 002; Xueyun Zhu; Emmanuel Awa; Pengcheng He; Weizhu Chen; Hoifung Poon; Guihong Cao; Jianfeng Gao 001 (ACL (demo), 2020)

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. - Bailin Wang; Richard Shin; Xiaodong Liu 003; Oleksandr Polozov; Matthew Richardson (ACL, 2020)

A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing. - Sanxing Chen; Aidan San; Xiaodong Liu 003; Yangfeng Ji (COLING, 2020)

Understanding the Difficulty of Training Transformers. - Liyuan Liu; Xiaodong Liu 003; Jianfeng Gao 001; Weizhu Chen; Jiawei Han 001 (EMNLP (1), 2020)

On the Variance of the Adaptive Learning Rate and Beyond. - Liyuan Liu; Haoming Jiang; Pengcheng He; Weizhu Chen; Xiaodong Liu 003; Jianfeng Gao 001; Jiawei Han 001 (ICLR, 2020)

UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. - Hangbo Bao; Li Dong 004; Furu Wei; Wenhui Wang 003; Nan Yang 002; Xiaodong Liu 003; Yu Wang 009; Jianfeng Gao 001; Songhao Piao; Ming Zhou 001; Hsiao-Wuen Hon (ICML, 2020)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

Adversarial Training for Commonsense Inference. - Lis Pereira; Xiaodong Liu 003; Fei Cheng 002; Masayuki Asahara; Ichiro Kobayashi (RepL4NLP@ACL, 2020)

Adversarial Training for Large Neural Language Models. - Xiaodong Liu 003; Hao Cheng 002; Pengcheng He; Weizhu Chen; Yu Wang 009; Hoifung Poon; Jianfeng Gao 001 (CoRR, 2020)

Very Deep Transformers for Neural Machine Translation. - Xiaodong Liu 003; Kevin Duh; Liyuan Liu; Jianfeng Gao 001 (CoRR, 2020)

UnitedQA: A Hybrid Approach for Open Domain Question Answering. - Hao Cheng 002; Yelong Shen; Xiaodong Liu 003; Pengcheng He; Weizhu Chen; Jianfeng Gao 001 (ACL/IJCNLP (1), 2021)

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization. - Chen Liang 006; Simiao Zuo; Minshuo Chen; Haoming Jiang; Xiaodong Liu 003; Pengcheng He; Tuo Zhao; Weizhu Chen (ACL/IJCNLP (1), 2021)

Generation-Augmented Retrieval for Open-Domain Question Answering. - Yuning Mao; Pengcheng He; Xiaodong Liu 003; Yelong Shen; Jianfeng Gao 001; Jiawei Han 001; Weizhu Chen (ACL/IJCNLP (1), 2021)

Reader-Guided Passage Reranking for Open-Domain Question Answering. - Yuning Mao; Pengcheng He; Xiaodong Liu 003; Yelong Shen; Jianfeng Gao 001; Jiawei Han 001; Weizhu Chen (ACL/IJCNLP (Findings), 2021)

HittER: Hierarchical Transformers for Knowledge Graph Embeddings. - Sanxing Chen; Xiaodong Liu 003; Jianfeng Gao 001; Jian Jiao 007; Ruofei Zhang; Yangfeng Ji (EMNLP (1), 2021)

Token-wise Curriculum Learning for Neural Machine Translation. - Chen Liang 006; Haoming Jiang; Xiaodong Liu 003; Pengcheng He; Weizhu Chen; Jianfeng Gao 001; Tuo Zhao (EMNLP (Findings), 2021)

ARCH: Efficient Adversarial Regularized Training with Caching. - Simiao Zuo; Chen Liang 006; Haoming Jiang; Pengcheng He; Xiaodong Liu 003; Jianfeng Gao 001; Weizhu Chen; Tuo Zhao (EMNLP (Findings), 2021)

Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach. - Simiao Zuo; Chen Liang 006; Haoming Jiang; Xiaodong Liu 003; Pengcheng He; Jianfeng Gao 001; Weizhu Chen; Tuo Zhao (EMNLP (1), 2021)

Deberta: decoding-Enhanced Bert with Disentangled Attention. - Pengcheng He; Xiaodong Liu 003; Jianfeng Gao 001; Weizhu Chen (ICLR, 2021)

Posterior Differential Regularization with f-divergence for Improving Model Robustness. - Hao Cheng 002; Xiaodong Liu 003; Lis Pereira; Yaoliang Yu; Jianfeng Gao 001 (NAACL-HLT, 2021)

Targeted Adversarial Training for Natural Language Understanding. - Lis Pereira; Xiaodong Liu 003; Hao Cheng 002; Hoifung Poon; Jianfeng Gao 001; Ichiro Kobayashi (NAACL-HLT, 2021)

Few-Shot Learning Evaluation in Natural Language Understanding. - Subhabrata Mukherjee; Xiaodong Liu 003; Guoqing Zheng; Saghar Hosseini; Hao Cheng 002; Ge Yang; Christopher Meek; Ahmed Hassan Awadallah; Jianfeng Gao 001 (NeurIPS Datasets and Benchmarks, 2021)

Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. - Ge Yang; Edward J. Hu; Igor Babuschkin; Szymon Sidor; Xiaodong Liu 003; David Farhi; Nick Ryder; Jakub Pachocki; Weizhu Chen; Jianfeng Gao 001 (NeurIPS, 2021)

Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach. - Simiao Zuo; Chen Liang 006; Haoming Jiang; Xiaodong Liu 003; Pengcheng He; Jianfeng Gao 001; Weizhu Chen; Tuo Zhao (CoRR, 2021)

LiST: Lite Self-training Makes Efficient Few-shot Learners. - Yaqing Wang 001; Subhabrata Mukherjee; Xiaodong Liu 003; Jing Gao 004; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2021)

Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text. - Kaixin Ma; Hao Cheng 002; Xiaodong Liu 003; Eric Nyberg; Jianfeng Gao 001 (CoRR, 2021)

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding. - Subhabrata Mukherjee; Xiaodong Liu 003; Guoqing Zheng; Saghar Hosseini; Hao Cheng 002; Greg Yang; Christopher Meek; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2021)

Knowledge-Rich Self-Supervised Entity Linking. - Sheng Zhang 012; Hao Cheng 002; Shikhar Vashishth; Cliff Wong; Jinfeng Xiao; Xiaodong Liu 003; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (CoRR, 2021)

Open Domain Question Answering with A Unified Knowledge Interface. - Kaixin Ma; Hao Cheng 002; Xiaodong Liu 003; Eric Nyberg; Jianfeng Gao 001 (ACL (1), 2022)

Knowledge-Rich Self-Supervision for Biomedical Entity Linking. - Sheng Zhang 012; Hao Cheng 002; Shikhar Vashishth; Cliff Wong; Jinfeng Xiao; Xiaodong Liu 003; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (EMNLP (Findings), 2022)

Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge. - Kaixin Ma; Hao Cheng 002; Xiaodong Liu 003; Eric Nyberg; Jianfeng Gao 001 (EMNLP (Findings), 2022)

AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning. - Yaqing Wang 001; Sahaj Agarwal; Subhabrata Mukherjee; Xiaodong Liu 003; Jing Gao 004; Ahmed Hassan Awadallah; Jianfeng Gao 001 (EMNLP, 2022)

No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. - Chen Liang 006; Haoming Jiang; Simiao Zuo; Pengcheng He; Xiaodong Liu 003; Jianfeng Gao 001; Weizhu Chen; Tuo Zhao (ICLR, 2022)

Taming Sparsely Activated Transformer with Stochastic Experts. - Simiao Zuo; Xiaodong Liu 003; Jian Jiao 007; Young Jin Kim 001; Hany Hassan; Ruofei Zhang; Jianfeng Gao 001; Tuo Zhao (ICLR, 2022)

Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. - Yichong Xu; Chenguang Zhu 001; Shuohang Wang; Siqi Sun; Hao Cheng 002; Xiaodong Liu 003; Jianfeng Gao 001; Pengcheng He; Michael Zeng 001; Xuedong Huang 001 (IJCAI, 2022)

LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners. - Yaqing Wang 001; Subhabrata Mukherjee; Xiaodong Liu 003; Jing Gao 004; Ahmed Awadallah 001; Jianfeng Gao 001 (NAACL-HLT (Findings), 2022)

Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. - Dongkuan Xu; Subhabrata Mukherjee; Xiaodong Liu 003; Debadeepta Dey; Wenhui Wang 003; Xiang Zhang 001; Ahmed Hassan Awadallah; Jianfeng Gao 001 (NeurIPS, 2022)

AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. - Dongkuan Xu; Subhabrata Mukherjee; Xiaodong Liu 003; Debadeepta Dey; Wenhui Wang 003; Xiang Zhang 001; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2022)

A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models. - Da Yin; Li Dong 004; Hao Cheng 002; Xiaodong Liu 003; Kai-Wei Chang; Furu Wei; Jianfeng Gao 001 (CoRR, 2022)

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. - Greg Yang; Edward J. Hu; Igor Babuschkin; Szymon Sidor; Xiaodong Liu 003; David Farhi; Nick Ryder; Jakub Pachocki; Weizhu Chen; Jianfeng Gao 001 (CoRR, 2022)

METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. - Payal Bajaj; Chenyan Xiong; Guolin Ke; Xiaodong Liu 003; Di He 001; Saurabh Tiwary; Tie-Yan Liu; Paul Bennett 001; Xia Song; Jianfeng Gao 001 (CoRR, 2022)

AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models. - Yaqing Wang 001; Subhabrata Mukherjee; Xiaodong Liu 003; Jing Gao 004; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2022)

AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers. - Ganesh Jawahar; Subhabrata Mukherjee; Xiaodong Liu 003; Young Jin Kim 001; Muhammad Abdul-Mageed; Laks V. S. Lakshmanan; Ahmed Hassan Awadallah; Sébastien Bubeck; Jianfeng Gao 001 (CoRR, 2022)

Efficient Long Sequence Modeling via State Space Augmented Transformer. - Simiao Zuo; Xiaodong Liu 003; Jian Jiao 007; Denis Charles; Eren Manavoglu; Tuo Zhao; Jianfeng Gao 001 (CoRR, 2022)

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. - Yu Gu 017; Robert Tinn; Hao Cheng 002; Michael Lucas; Naoto Usuyama; Xiaodong Liu 003; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (ACM Trans. Comput. Heal., 2022)

Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering. - Hao Cheng 002; Hao Fang 002; Xiaodong Liu 003; Jianfeng Gao 001 (ACL (2), 2023)

Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. - Linyuan Gong; Chenyan Xiong; Xiaodong Liu 003; Payal Bajaj; Yiqing Xie; Alvin Cheung; Jianfeng Gao 001; Xia Song (ACL (1), 2023)

AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation. - Ganesh Jawahar; Subhabrata Mukherjee; Xiaodong Liu 003; Young Jin Kim 001; Muhammad Abdul-Mageed; Laks V. S. Lakshmanan; Ahmed Hassan Awadallah; Sébastien Bubeck; Jianfeng Gao 001 (ACL (Findings), 2023)

Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. - Yu Zhang 044; Hao Cheng 002; Zhihong Shen; Xiaodong Liu 003; Ye-Yi Wang; Jianfeng Gao 001 (EMNLP (Findings), 2023)

Visually-Augmented Language Modeling. - Weizhi Wang; Li Dong 004; Hao Cheng 002; Haoyu Song 002; Xiaodong Liu 003; Xifeng Yan; Jianfeng Gao 001; Furu Wei (ICLR, 2023)

Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. - Chengyu Dong; Liyuan Liu; Hao Cheng 002; Jingbo Shang; Jianfeng Gao 001; Xiaodong Liu 003 (ICML, 2023)

Bridging Discrete and Backpropagation: Straight-Through and Beyond. - Liyuan Liu; Chengyu Dong; Xiaodong Liu 003; Bin Yu 001; Jianfeng Gao 001 (NeurIPS, 2023)

Augmenting Language Models with Long-Term Memory. - Weizhi Wang; Li Dong 004; Hao Cheng 002; Xiaodong Liu 003; Xifeng Yan; Jianfeng Gao 001; Furu Wei (NeurIPS, 2023)

Pre-training Transformers for Knowledge Graph Completion. - Sanxing Chen; Hao Cheng 002; Xiaodong Liu 003; Jian Jiao 007; Yangfeng Ji; Jianfeng Gao 001 (CoRR, 2023)

Chain-of-Skills: A Configurable Model for Open-domain Question Answering. - Kaixin Ma; Hao Cheng 002; Yu Zhang 044; Xiaodong Liu 003; Eric Nyberg; Jianfeng Gao 001 (CoRR, 2023)

Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks. - Xiaodong Yu 003; Hao Cheng 002; Xiaodong Liu 003; Dan Roth 001; Jianfeng Gao 001 (CoRR, 2023)

Fine-tuning large neural language models for biomedical natural language processing. - Robert Tinn; Hao Cheng 002; Yu Gu 017; Naoto Usuyama; Xiaodong Liu 003; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (Patterns, 2023)

Language Models as Inductive Reasoners. - Zonglin Yang 001; Li Dong 004; Xinya Du; Hao Cheng 002; Erik Cambria; Xiaodong Liu 003; Jianfeng Gao 001; Furu Wei (EACL (1), 2024)

Fast-ELECTRA for Efficient Pre-training. - Chengyu Dong; Liyuan Liu; Hao Cheng 002; Jingbo Shang; Jianfeng Gao 001; Xiaodong Liu 003 (ICLR, 2024)

Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs. - Qingru Zhang; Chandan Singh; Liyuan Liu; Xiaodong Liu 003; Bin Yu 001; Jianfeng Gao 001; Tuo Zhao (ICLR, 2024)

ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks. - Xiaodong Yu 003; Hao Cheng 002; Xiaodong Liu 003; Dan Roth 001; Jianfeng Gao 001 (NAACL-HLT (Findings), 2024)

Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering. - Qingru Zhang; Xiaodong Yu 003; Chandan Singh; Xiaodong Liu 003; Liyuan Liu; Jianfeng Gao 001; Tuo Zhao; Dan Roth 001; Hao Cheng 002 (CoRR, 2024)

GRIN: GRadient-INformed MoE. - Liyuan Liu; Young Jin Kim 001; Shuohang Wang; Chen Liang 006; Yelong Shen; Hao Cheng 002; Xiaodong Liu 003; Masahiro Tanaka; Xiaoxia Wu; Wenxiang Hu; Vishrav Chaudhary; Zeqi Lin; et al. (CoRR, 2024)

StreamAdapter: Efficient Test Time Adaptation from Contextual Streams. - Dilxat Muhtar; Yelong Shen; Yaming Yang 001; Xiaodong Liu 003; Yadong Lu; Jianfeng Liu; Yuefeng Zhan; Hao Sun 015; Weiwei Deng; Feng Sun 008; Xueliang Zhang; Jianfeng Gao 001; et al. (CoRR, 2024)

Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts. - Zeliang Zhang; Xiaodong Liu 003; Hao Cheng 002; Chenliang Xu; Jianfeng Gao 001 (ACL (Findings), 2025)

Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. - Yanda Chen; Chandan Singh; Xiaodong Liu 003; Simiao Zuo; Bin Yu 001; He He 001; Jianfeng Gao 001 (COLING, 2025)

Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass. - Tong Chen; Hao Fang 002; Patrick Xia 002; Xiaodong Liu 003; Benjamin Van Durme; Luke Zettlemoyer; Jianfeng Gao 001; Hao Cheng 002 (ICLR, 2025)

Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities. - Chung-En Sun; Xiaodong Liu 003; Weiwei Yang; Tsui-Wei Weng; Hao Cheng 002; Aidan San; Michel Galley; Jianfeng Gao 001 (NAACL (Long Papers), 2025)