DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning. - Wenhan Xiong; Thien Hoang; William Yang Wang (EMNLP, 2017)

Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation. - Xin Wang 061; Wenhan Xiong; Hongmin Wang; William Yang Wang (ECCV (16), 2018)

One-Shot Relational Learning for Knowledge Graphs. - Wenhan Xiong; Mo Yu; Shiyu Chang; Xiaoxiao Guo; William Yang Wang (EMNLP, 2018)

Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. - Wenhan Xiong; Xiaoxiao Guo; Mo Yu; Shiyu Chang; Bowen Zhou; William Yang Wang (IJCAI, 2018)

Variational Knowledge Graph Reasoning. - Wenhu Chen; Wenhan Xiong; Xifeng Yan; William Yang Wang (NAACL-HLT, 2018)

Do Multi-hop Readers Dream of Reasoning Chains? - Haoyu Wang 002; Mo Yu; Xiaoxiao Guo; Rajarshi Das; Wenhan Xiong; Tian Gao (MRQA@EMNLP, 2019)

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. - Wenhan Xiong; Mo Yu; Xiaoxiao Guo; Hong Wang 023; Shiyu Chang; Murray Campbell; William Yang Wang (MRQA@EMNLP, 2019)

Self-Supervised Learning for Contextualized Extractive Summarization. - Hong Wang 023; Xin Wang 061; Wenhan Xiong; Mo Yu; Xiaoxiao Guo; Shiyu Chang; William Yang Wang (ACL (1), 2019)

TWEETQA: A Social Media Focused Question Answering Dataset. - Wenhan Xiong; Jiawei Wu 003; Hong Wang 023; Vivek Kulkarni; Mo Yu; Shiyu Chang; Xiaoxiao Guo; William Yang Wang (ACL (1), 2019)

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. - Wenhan Xiong; Mo Yu; Shiyu Chang; Xiaoxiao Guo; William Yang Wang (ACL (1), 2019)

Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification. - Jiawei Wu 003; Wenhan Xiong; William Yang Wang (EMNLP/IJCNLP (1), 2019)

Sentence Embedding Alignment for Lifelong Relation Extraction. - Hong Wang 023; Wenhan Xiong; Mo Yu; Xiaoxiao Guo; Shiyu Chang; William Yang Wang (NAACL-HLT (1), 2019)

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. - Wenhan Xiong; Jiawei Wu 003; Deren Lei; Mo Yu; Shiyu Chang; Xiaoxiao Guo; William Yang Wang (NAACL-HLT (1), 2019)

Meta Reasoning over Knowledge Graphs. - Hong Wang 023; Wenhan Xiong; Mo Yu; Xiaoxiao Guo; Shiyu Chang; William Yang Wang (CoRR, 2019)

Towards Open-Domain Named Entity Recognition via Neural Correction Models. - Mengdi Zhu; Zheye Deng; Wenhan Xiong; Mo Yu; Ming Zhang 004; William Yang Wang (CoRR, 2019)

HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. - Wenhu Chen; Hanwen Zha; Zhiyu Chen 002; Wenhan Xiong; Hong Wang 023; William Yang Wang (EMNLP (Findings), 2020)

Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. - Wenhan Xiong; Jingfei Du; William Yang Wang; Veselin Stoyanov (ICLR, 2020)

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. - Yufei Feng; Mo Yu; Wenhan Xiong; Xiaoxiao Guo; Junjie Huang 008; Shiyu Chang; Murray Campbell; Michael A. Greenspan; Xiaodan Zhu 001 (CoRR, 2020)

SafeRoute: Learning to Navigate Streets Safely in an Urban Environment. - Sharon Levy; Wenhan Xiong; Elizabeth M. Belding; William Yang Wang (ACM Trans. Intell. Syst. Technol., 2020)

Zero-shot Fact Verification by Claim Generation. - Liangming Pan; Wenhu Chen; Wenhan Xiong; Min-Yen Kan; William Yang Wang (ACL/IJCNLP (2), 2021)

extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. - Yufei Feng; Mo Yu; Wenhan Xiong; Xiaoxiao Guo; Junjie Huang 008; Shiyu Chang; Murray Campbell; Michael A. Greenspan; Xiaodan Zhu 001 (Canadian AI, 2021)

Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering. - Wenhan Xiong; Hong Wang 023; William Yang Wang (EACL, 2021)

Open-Domain Question-Answering for COVID-19 and Other Emergent Domains. - Sharon Levy; Kevin Mo; Wenhan Xiong; William Yang Wang (EMNLP (Demos), 2021)

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. - Wenhan Xiong; Xiang Lorraine Li; Srini Iyer 001; Jingfei Du; Patrick Lewis 001; William Yang Wang; Yashar Mehdad; Scott Yih; Sebastian Riedel 001; Douwe Kiela; Barlas Oguz (ICLR, 2021)

Unsupervised Multi-hop Question Answering by Question Generation. - Liangming Pan; Wenhu Chen; Wenhan Xiong; Min-Yen Kan; William Yang Wang (NAACL-HLT, 2021)

Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation. - Tianyi Liu; Zuxuan Wu; Wenhan Xiong; Jingjing Chen 001; Yu-Gang Jiang 001 (CoRR, 2021)

SCROLLS: Standardized CompaRison Over Long Language Sequences. - Uri Shaham 002; Elad Segal; Maor Ivgi; Avia Efrat; Ori Yoran; Adi Haviv; Ankit Gupta 001; Wenhan Xiong; Mor Geva; Jonathan Berant; Omer Levy (EMNLP, 2022)

Bridging the Training-Inference Gap for Dense Phrase Retrieval. - Gyuwan Kim; Jinhyuk Lee; Barlas Oguz; Wenhan Xiong; Yizhe Zhang 002; Yashar Mehdad; William Yang Wang (EMNLP (Findings), 2022)

Boosted Dense Retriever. - Patrick Lewis 001; Barlas Oguz; Wenhan Xiong; Fabio Petroni; Scott Yih; Sebastian Riedel 001 (NAACL-HLT, 2022)

Simple Local Attentions Remain Competitive for Long-Context Tasks. - Wenhan Xiong; Barlas Oguz; Anchit Gupta; Xilun Chen 002; Diana Liskovich; Omer Levy; Scott Yih; Yashar Mehdad (NAACL-HLT, 2022)

Text-guided 3D Human Generation from 2D Collections. - Tsu-Jui Fu; Wenhan Xiong; Yixin Nie; Jingyu Liu; Barlas Oguz; William Wang (EMNLP (Findings), 2023)

Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. - Zixuan Ke; Bing Liu 001; Wenhan Xiong; Asli Celikyilmaz; Haoran Li 007 (EMNLP (Findings), 2023)

Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. - Harman Singh; Pengchuan Zhang; Qifan Wang 001; Mengjiao Wang; Wenhan Xiong; Jingfei Du; Yu Chen 022 (EMNLP, 2023)

Adapting Pretrained Text-to-Text Models for Long Text Sequences. - Wenhan Xiong; Anchit Gupta; Shubham Toshniwal; Yashar Mehdad; Scott Yih (EMNLP (Findings), 2023)

Multi-Head State Space Model for Speech Recognition. - Yassir Fathullah; Chunyang Wu; Yuan Shangguan; Junteng Jia; Wenhan Xiong; Jay Mahadeokar; Chunxi Liu; Yangyang Shi; Ozlem Kalinli; Mike Seltzer; Mark J. F. Gales (INTERSPEECH, 2023)

CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding. - Jingyu Liu; Wenhan Xiong; Ian Jones; Yixin Nie; Anchit Gupta; Barlas Oguz (CoRR, 2023)

3DGen: Triplane Latent Diffusion for Textured Mesh Generation. - Anchit Gupta; Wenhan Xiong; Yixin Nie; Ian Jones; Barlas Oguz (CoRR, 2023)

VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation. - Xilun Chen 002; Lili Yu; Wenhan Xiong; Barlas Oguz; Yashar Mehdad; Wen-tau Yih (CoRR, 2023)

Text-guided 3D Human Generation from 2D Collections. - Tsu-Jui Fu; Wenhan Xiong; Yixin Nie; Jingyu Liu; Barlas Oguz; William Yang Wang (CoRR, 2023)

Code Llama: Open Foundation Models for Code. - Baptiste Rozière; Jonas Gehring; Fabian Gloeckle; Sten Sootla; Itai Gat; Xiaoqing Ellen Tan; Yossi Adi; Jingyu Liu; Tal Remez; Jérémy Rapin; Artyom Kozhevnikov; Ivan Evtimov; et al. (CoRR, 2023)

LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models. - Chi Han; Qifan Wang 001; Wenhan Xiong; Yu Chen 022; Heng Ji 001; Sinong Wang (CoRR, 2023)

The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task. - Yifan Wu; Pengchuan Zhang; Wenhan Xiong; Barlas Oguz; James C. Gee; Yixin Nie (CoRR, 2023)

Prompting Large Language Models with Speech Recognition Abilities. - Yassir Fathullah; Chunyang Wu; Egor Lakomkin; Junteng Jia; Yuan Shangguan; Ke Li 023; Jinxi Guo; Wenhan Xiong; Jay Mahadeokar; Ozlem Kalinli; Christian Fuegen; Mike Seltzer (ICASSP, 2024)

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. - Chi Han; Qifan Wang 001; Hao Peng 009; Wenhan Xiong; Yu Chen 022; Heng Ji 001; Sinong Wang (NAACL-HLT, 2024)

Effective Long-Context Scaling of Foundation Models. - Wenhan Xiong; Jingyu Liu; Igor Molybog; Hejia Zhang; Prajjwal Bhargava; Rui Hou; Louis Martin; Rashi Rungta; Karthik Abinav Sankararaman; Barlas Oguz; Madian Khabsa; Han Fang; et al. (NAACL-HLT, 2024)

FLAME : Factuality-Aware Alignment for Large Language Models. - Sheng-Chieh Lin; Luyu Gao; Barlas Oguz; Wenhan Xiong; Jimmy Lin; Scott Yih; Xilun Chen 002 (NeurIPS, 2024)

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length. - Xuezhe Ma; Xiaomeng Yang; Wenhan Xiong; Beidi Chen; Lili Yu; Hao Zhang 025; Jonathan May; Luke Zettlemoyer; Omer Levy; Chunting Zhou (NeurIPS, 2024)

Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning. - Rao Fu; Jingyu Liu; Xilun Chen 002; Yixin Nie; Wenhan Xiong (CoRR, 2024)

Law of the Weakest Link: Cross Capabilities of Large Language Models. - Ming Zhong 005; Aston Zhang; Xuewei Wang; Rui Hou; Wenhan Xiong; Chenguang Zhu 001; Zhengxing Chen; Liang Tan; Chloe Bi; Mike Lewis; Sravya Popuri; Sharan Narang; et al. (ICLR, 2025)

Scene-LLM: Extending Language Model for 3D Visual Reasoning. - Rao Fu; Jingyu Liu; Xilun Chen 002; Yixin Nie; Wenhan Xiong (WACV, 2025)