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2020 – today
- 2025
[c37]Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten:
Law of the Weakest Link: Cross Capabilities of Large Language Models. ICLR 2025- [c36]Rao Fu, Jingyu Liu, Xilun Chen, Yixin Nie, Wenhan Xiong:
Scene-LLM: Extending Language Model for 3D Visual Reasoning. WACV 2025: 2195-2206 - 2024
- [c35]Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Junteng Jia, Yuan Shangguan, Ke Li, Jinxi Guo, Wenhan Xiong, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
Prompting Large Language Models with Speech Recognition Abilities. ICASSP 2024: 13351-13355 - [c34]Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang:
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. NAACL-HLT 2024: 3991-4008 - [c33]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, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma:
Effective Long-Context Scaling of Foundation Models. NAACL-HLT 2024: 4643-4663 - [c32]Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Scott Yih, Xilun Chen:
FLAME : Factuality-Aware Alignment for Large Language Models. NeurIPS 2024 - [c31]Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou:
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length. NeurIPS 2024 - [i46]Rao Fu, Jingyu Liu, Xilun Chen, Yixin Nie, Wenhan Xiong:
Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning. CoRR abs/2403.11401 (2024) - [i45]Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou:
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length. CoRR abs/2404.08801 (2024) - [i44]Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Wen-tau Yih, Xilun Chen:
FLAME: Factuality-Aware Alignment for Large Language Models. CoRR abs/2405.01525 (2024) - [i43]Ming Zhong
, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten:
Law of the Weakest Link: Cross Capabilities of Large Language Models. CoRR abs/2409.19951 (2024) - 2023
- [c30]Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen:
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. EMNLP 2023: 869-893 - [c29]Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Wang:
Text-guided 3D Human Generation from 2D Collections. EMNLP (Findings) 2023: 4508-4520 - [c28]Wenhan Xiong, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, Scott Yih:
Adapting Pretrained Text-to-Text Models for Long Text Sequences. EMNLP (Findings) 2023: 5566-5578 - [c27]Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li:
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. EMNLP (Findings) 2023: 15090-15107 - [c26]Yassir Fathullah, Chunyang Wu, Yuan Shangguan, Junteng Jia, Wenhan Xiong, Jay Mahadeokar, Chunxi Liu, Yangyang Shi, Ozlem Kalinli, Mike Seltzer, Mark J. F. Gales:
Multi-Head State Space Model for Speech Recognition. INTERSPEECH 2023: 241-245 - [i42]Jingyu Liu, Wenhan Xiong, Ian Jones, Yixin Nie, Anchit Gupta, Barlas Oguz:
CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding. CoRR abs/2303.03565 (2023) - [i41]Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, Barlas Oguz:
3DGen: Triplane Latent Diffusion for Textured Mesh Generation. CoRR abs/2303.05371 (2023) - [i40]Xilun Chen, Lili Yu, Wenhan Xiong, Barlas Oguz, Yashar Mehdad, Wen-tau Yih:
VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation. CoRR abs/2305.03204 (2023) - [i39]Yassir Fathullah, Chunyang Wu, Yuan Shangguan, Junteng Jia, Wenhan Xiong, Jay Mahadeokar, Chunxi Liu, Yangyang Shi, Ozlem Kalinli, Mike Seltzer, Mark J. F. Gales:
Multi-Head State Space Model for Speech Recognition. CoRR abs/2305.12498 (2023) - [i38]Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen:
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. CoRR abs/2305.13812 (2023) - [i37]Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Yang Wang:
Text-guided 3D Human Generation from 2D Collections. CoRR abs/2305.14312 (2023) - [i36]Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Junteng Jia, Yuan Shangguan, Ke Li, Jinxi Guo, Wenhan Xiong, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
Prompting Large Language Models with Speech Recognition Abilities. CoRR abs/2307.11795 (2023) - [i35]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, Joanna Bitton, Manish Bhatt, Cristian Canton-Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve:
Code Llama: Open Foundation Models for Code. CoRR abs/2308.12950 (2023) - [i34]Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang:
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models. CoRR abs/2308.16137 (2023) - [i33]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, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma:
Effective Long-Context Scaling of Foundation Models. CoRR abs/2309.16039 (2023) - [i32]Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li:
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. CoRR abs/2310.09436 (2023) - [i31]Yifan Wu, Pengchuan Zhang, Wenhan Xiong, Barlas Oguz, James C. Gee, Yixin Nie:
The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task. CoRR abs/2311.09193 (2023) - 2022
- [c25]Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang:
Bridging the Training-Inference Gap for Dense Phrase Retrieval. EMNLP (Findings) 2022: 3713-3724 - [c24]Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy:
SCROLLS: Standardized CompaRison Over Long Language Sequences. EMNLP 2022: 12007-12021 - [c23]Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Scott Yih, Yashar Mehdad:
Simple Local Attentions Remain Competitive for Long-Context Tasks. NAACL-HLT 2022: 1975-1986 - [c22]Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel:
Boosted Dense Retriever. NAACL-HLT 2022: 3102-3117 - [i30]Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy:
SCROLLS: Standardized CompaRison Over Long Language Sequences. CoRR abs/2201.03533 (2022) - [i29]Wenhan Xiong, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, Wen-tau Yih:
Adapting Pretrained Text-to-Text Models for Long Text Sequences. CoRR abs/2209.10052 (2022) - [i28]Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang:
Bridging the Training-Inference Gap for Dense Phrase Retrieval. CoRR abs/2210.13678 (2022) - 2021
- [c21]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. ACL/IJCNLP (2) 2021: 476-483 - [c20]Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
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. Canadian AI 2021 - [c19]Wenhan Xiong, Hong Wang, William Yang Wang:
Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering. EACL 2021: 2803-2815 - [c18]Sharon Levy, Kevin Mo, Wenhan Xiong, William Yang Wang:
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains. EMNLP (Demos) 2021: 259-266 - [c17]Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. ICLR 2021 - [c16]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. NAACL-HLT 2021: 5866-5880 - [i27]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. CoRR abs/2105.14682 (2021) - [i26]Sharon Levy, Kevin Mo, Wenhan Xiong, William Yang Wang:
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains. CoRR abs/2110.06962 (2021) - [i25]Tianyi Liu, Zuxuan Wu, Wenhan Xiong, Jingjing Chen, Yu-Gang Jiang:
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation. CoRR abs/2112.05587 (2021) - [i24]Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Wen-tau Yih, Yashar Mehdad:
Simple Local Attentions Remain Competitive for Long-Context Tasks. CoRR abs/2112.07210 (2021) - [i23]Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Wen-tau Yih, Sebastian Riedel:
Boosted Dense Retriever. CoRR abs/2112.07771 (2021) - 2020
- [j1]Sharon Levy, Wenhan Xiong, Elizabeth M. Belding, William Yang Wang:
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment. ACM Trans. Intell. Syst. Technol. 11(6): 66:1-66:17 (2020) - [c15]Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Yang Wang:
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. EMNLP (Findings) 2020: 1026-1036 - [c14]Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov:
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. ICLR 2020 - [i22]Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. CoRR abs/2004.02393 (2020) - [i21]Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Yang Wang:
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. CoRR abs/2004.07347 (2020) - [i20]Wenhan Xiong, Hong Wang, William Yang Wang:
Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering. CoRR abs/2005.00038 (2020) - [i19]Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. CoRR abs/2009.12756 (2020) - [i18]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. CoRR abs/2010.12623 (2020)
2010 – 2019
- 2019
- [c13]Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Self-Supervised Learning for Contextualized Extractive Summarization. ACL (1) 2019: 2221-2227 - [c12]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. ACL (1) 2019: 4258-4264 - [c11]Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
TWEETQA: A Social Media Focused Question Answering Dataset. ACL (1) 2019: 5020-5031 - [c10]Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang:
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. MRQA@EMNLP 2019: 48-52 - [c9]Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao:
Do Multi-hop Readers Dream of Reasoning Chains? MRQA@EMNLP 2019: 91-97 - [c8]Jiawei Wu, Wenhan Xiong, William Yang Wang:
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification. EMNLP/IJCNLP (1) 2019: 4353-4363 - [c7]Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. NAACL-HLT (1) 2019: 773-784 - [c6]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. NAACL-HLT (1) 2019: 796-806 - [i17]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. CoRR abs/1903.02588 (2019) - [i16]Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. CoRR abs/1903.02591 (2019) - [i15]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. CoRR abs/1905.07098 (2019) - [i14]Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Self-Supervised Learning for Contextualized Extractive Summarization. CoRR abs/1906.04466 (2019) - [i13]Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
TWEETQA: A Social Media Focused Question Answering Dataset. CoRR abs/1907.06292 (2019) - [i12]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Meta Reasoning over Knowledge Graphs. CoRR abs/1908.04877 (2019) - [i11]Jiawei Wu, Wenhan Xiong, William Yang Wang:
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification. CoRR abs/1909.04176 (2019) - [i10]Mengdi Zhu, Zheye Deng, Wenhan Xiong, Mo Yu, Ming Zhang, William Yang Wang:
Towards Open-Domain Named Entity Recognition via Neural Correction Models. CoRR abs/1909.06058 (2019) - [i9]Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang:
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. CoRR abs/1909.07597 (2019) - [i8]Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao:
Do Multi-hop Readers Dream of Reasoning Chains? CoRR abs/1910.14520 (2019) - [i7]Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov:
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. CoRR abs/1912.09637 (2019) - 2018
- [c5]Xin Wang, Wenhan Xiong, Hongmin Wang, William Yang Wang:
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation. ECCV (16) 2018: 38-55 - [c4]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
One-Shot Relational Learning for Knowledge Graphs. EMNLP 2018: 1980-1990 - [c3]Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang:
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. IJCAI 2018: 4503-4509 - [c2]Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang:
Variational Knowledge Graph Reasoning. NAACL-HLT 2018: 1823-1832 - [i6]Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang:
Variational Knowledge Graph Reasoning. CoRR abs/1803.06581 (2018) - [i5]Xin Wang, Wenhan Xiong, Hongmin Wang, William Yang Wang:
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation. CoRR abs/1803.07729 (2018) - [i4]Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang:
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. CoRR abs/1806.06187 (2018) - [i3]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
One-Shot Relational Learning for Knowledge Graphs. CoRR abs/1808.09040 (2018) - [i2]Sharon Levy, Wenhan Xiong, Elizabeth M. Belding, William Yang Wang:
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment. CoRR abs/1811.01147 (2018) - 2017
- [c1]Wenhan Xiong, Thien Hoang, William Yang Wang:
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning. EMNLP 2017: 564-573 - [i1]Wenhan Xiong, Thien Hoang, William Yang Wang:
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning. CoRR abs/1707.06690 (2017)
Coauthor Index
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