Junxian He - RankMe

152 papers A* 31A 2B 1Journal 90Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios. CoRR Zhaochen Su, Jincheng Gao, Hangyu Guo, Zhenhua Liu, Lueyang Zhang, Xinyu Geng, Shijue Huang, Peng Xia, Guanyu Jiang, Cheng Wang, Yue Zhang, Yi R. (May) Fung, Junxian He
2026	J	`jnl`	DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use. CoRR Aili Chen, Chi Zhang, Junteng Liu, Jiangjie Chen, Chengyu Du, Yunji Li, Ming Zhong, Qin Wang, Zhengmao Zhu, Jiayuan Song, Ke Ji, Junxian He, Pengyu Zhao, Yanghua Xiao
2026	J	`jnl`	Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations. CoRR Wei Liu, Jiawei Xu, Yingru Li, Longtao Zheng, Tianjian Li, Qian Liu, Junxian He
2026	J	`jnl`	LOCA-bench: Benchmarking Language Agents Under Controllable and Extreme Context Growth. CoRR Weihao Zeng, Yuzhen Huang, Junxian He
2026	J	`jnl`	SkillCraft: Can LLM Agents Learn to Use Tools Skillfully? CoRR Shiqi Chen, Jingze Gai, Ruochen Zhou, Jinghan Zhang, Tongyao Zhu, Junlong Li, Kangrui Wang, Zihan Wang, Zhengyu Chen, Klara Kaleb, Ning Miao, Siyang Gao, Cong Lu, Manling Li, Junxian He, Yee Whye Teh
2025	J	`jnl`	A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. CoRR Xiaoye Qu, Yafu Li, Zhaochen Su, Weigao Sun, Jianhao Yan, Dongrui Liu, Ganqu Cui, Daizong Liu, Shuxian Liang, Junxian He, Peng Li, Wei Wei, Jing Shao, Chaochao Lu, Yue Zhang, Xian-Sheng Hua, Bowen Zhou, Yu Cheng
2025	J	`jnl`	A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook. ACM Comput. Surv. Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li
2025	J	`jnl`	A Visual-Cortex-Mimetic Tiny Neuromorphic Vision Processor Based on Reconfigurable Cortical Neuron Unit. IEEE Trans. Circuits Syst. II Express Briefs Mingju Chen, Junxian He, Haibing Wang, Tengxiao Wang, Haoran Gao, Liyuan Liu, Ying Wang, Cong Shi
2025	A*	`conf`	B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners. ICLR Weihao Zeng, Yuzhen Huang, Lulu Zhao, Yijun Wang, Zifei Shan, Junxian He
2025	J	`jnl`	Breaking the Data Barrier - Building GUI Agents Through Task Generalization. CoRR Junlei Zhang, Zichen Ding, Chang Ma, Zijie Chen, Qiushi Sun, Zhenzhong Lan, Junxian He
2025	A*	`conf`	Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging. ICML Shiqi Chen, Jinghan Zhang, Tongyao Zhu, Wei Liu, Siyang Gao, Miao Xiong, Manling Li, Junxian He
2025	J	`jnl`	Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging. CoRR Shiqi Chen, Jinghan Zhang, Tongyao Zhu, Wei Liu, Siyang Gao, Miao Xiong, Manling Li, Junxian He
2025	J	`jnl`	CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction. CoRR Junlong Li, Daya Guo, Dejian Yang, Runxin Xu, Yu Wu, Junxian He
2025	A*	`conf`	CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction. ICML Junlong Li, Daya Guo, Dejian Yang, Runxin Xu, Yu Wu, Junxian He
2025	A*	`conf`	Diving into Self-Evolving Training for Multimodal Reasoning. ICML Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He
2025	J	`jnl`	Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning? CoRR Ruochen Zhou, Minrui Xu, Shiqi Chen, Junteng Liu, Yunqi Li, Xinxin Lin, Zhengyu Chen, Junxian He
2025	—	`conf`	Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning. ACL (1) Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Qiushi Sun, Kanzhi Cheng, Junxian He, Jun Liu, Zhiyong Wu
2025	J	`jnl`	Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning. CoRR Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Qiushi Sun, Kanzhi Cheng, Junxian He, Jun Liu, Zhiyong Wu
2025	J	`jnl`	High-Dimensional Interlingual Representations of Large Language Models. CoRR Bryan Wilie, Samuel Cahyawijaya, Junxian He, Pascale Fung
2025	J	`jnl`	Internalizing World Models via Self-Play Finetuning for Agentic RL. CoRR Shiqi Chen, Tongyao Zhu, Zian Wang, Jinghan Zhang, Kangrui Wang, Siyang Gao, Teng Xiao, Yee Whye Teh, Junxian He, Manling Li
2025	J	`jnl`	Learn to Reason Efficiently with Adaptive Length-based Reward Shaping. CoRR Wei Liu, Ruochen Zhou, Yiyun Deng, Yuzhen Huang, Junteng Liu, Yuntian Deng, Yizhe Zhang, Junxian He
2025	J	`jnl`	Mirage or Method? How Model-Task Alignment Induces Divergent RL Conclusions. CoRR Haoze Wu, Cheng Wang, Wenshuo Zhao, Junxian He
2025	J	`jnl`	MorphBungee: A 65-nm 7.2-mm IEEE Trans. Biomed. Circuits Syst. Tengxiao Wang, Min Tian, Haibing Wang, Zhengqing Zhong, Junxian He, Fang Tang, Xichuan Zhou, Yingcheng Lin, Shuangming Yu, Liyuan Liu, Cong Shi
2025	A*	`conf`	Non-myopic Generation of Language Models for Reasoning and Planning. ICLR Chang Ma, Haiteng Zhao, Junlei Zhang, Junxian He, Lingpeng Kong
2025	—	`conf`	OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis. ACL (1) Qiushi Sun, Kanzhi Cheng, Zichen Ding, Chuanyang Jin, Yian Wang, Fangzhi Xu, Zhenyu Wu, Chengyou Jia, Liheng Chen, Zhoumianze Liu, Ben Kao, Guohao Li, Junxian He, Yu Qiao, Zhiyong Wu
2025	—	`conf`	On the Perception Bottleneck of VLMs for Chart Understanding. EMNLP (Findings) Junteng Liu, Weihao Zeng, Xiwen Zhang, Yijun Wang, Zifei Shan, Junxian He
2025	J	`jnl`	On the Perception Bottleneck of VLMs for Chart Understanding. CoRR Junteng Liu, Weihao Zeng, Xiwen Zhang, Yijun Wang, Zifei Shan, Junxian He
2025	J	`jnl`	Pitfalls of Rule- and Model-based Verifiers - A Case Study on Mathematical Reasoning. CoRR Yuzhen Huang, Weihao Zeng, Xingshan Zeng, Qi Zhu, Junxian He
2025	A*	`conf`	Predictive Data Selection: The Data That Predicts Is the Data That Teaches. ICML Kashun Shum, Yuzhen Huang, Hongjian Zou, Qi Ding, Yixuan Liao, Xiaoxin Chen, Qian Liu, Junxian He
2025	J	`jnl`	Predictive Data Selection: The Data That Predicts Is the Data That Teaches. CoRR Kashun Shum, Yuzhen Huang, Hongjian Zou, Qi Ding, Yixuan Liao, Xiaoxin Chen, Qian Liu, Junxian He
2025	J	`jnl`	Pushing Test-Time Scaling Limits of Deep Search with Asymmetric Verification. CoRR Weihao Zeng, Keqing He, Chuqiao Kuang, Xiaoguang Li, Junxian He
2025	—	`conf`	Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies. ACL (1) Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang
2025	J	`jnl`	SWE-RM: Execution-free Feedback For Software Engineering Agents. CoRR Kashun Shum, Binyuan Hui, Jiawei Chen, Lei Zhang, X. W., Jiaxi Yang, Yuzhen Huang, Junyang Lin, Junxian He
2025	J	`jnl`	SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild. CoRR Weihao Zeng, Yuzhen Huang, Qian Liu, Wei Liu, Keqing He, Zejun Ma, Junxian He
2025	J	`jnl`	Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs. CoRR Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang
2025	J	`jnl`	SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond. CoRR Junteng Liu, Yuanxiang Fan, Zhuo Jiang, Han Ding, Yongyi Hu, Chi Zhang, Yiqi Shi, Shitong Weng, Aili Chen, Shiqi Chen, Yunan Huang, Mozhi Zhang, Pengyu Zhao, Junjie Yan, Junxian He
2025	J	`jnl`	The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution. CoRR Junlong Li, Wenshuo Zhao, Jian Zhao, Weihao Zeng, Haoze Wu, Xiaochen Wang, Rui Ge, Yuxuan Cao, Yuzhen Huang, Wei Liu, Junteng Liu, Zhaochen Su, Yiyang Guo, Fan Zhou, Lueyang Zhang, Juan Michelini, Xingyao Wang, Xiang Yue, Shuyan Zhou, Graham Neubig, Junxian He
2025	J	`jnl`	Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers. CoRR Zhaochen Su, Peng Xiang, Hangyu Guo, Zhenhua Liu, Yan Ma, Xiaoye Qu, Jiaqi Liu, Yanshu Li, Kaide Zeng, Zhengyuan Yang, Linjie Li, Yu Cheng, Heng Ji, Junxian He, Yi R. (May) Fung
2025	J	`jnl`	WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents. CoRR Junteng Liu, Yunji Li, Chi Zhang, Jingyang Li, Aili Chen, Ke Ji, Weiyu Cheng, Zijia Wu, Chengyu Du, Qidi Xu, Jiayuan Song, Zhengmao Zhu, Wenhu Chen, Pengyu Zhao, Junxian He
2025	A*	`conf`	Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas. ICML Shiqi Chen, Tongyao Zhu, Ruochen Zhou, Jinghan Zhang, Siyang Gao, Juan Carlos Niebles, Mor Geva, Junxian He, Jiajun Wu, Manling Li
2025	J	`jnl`	Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas. CoRR Shiqi Chen, Tongyao Zhu, Ruochen Zhou, Jinghan Zhang, Siyang Gao, Juan Carlos Niebles, Mor Geva, Junxian He, Jiajun Wu, Manling Li
2024	J	`jnl`	A visual cortex-inspired edge neuromorphic hardware architecture with on-chip multi-layer STDP learning. Comput. Electr. Eng. Junxian He, Min Tian, Ying Jiang, Haibing Wang, Tengxiao Wang, Xichuan Zhou, Liyuan Liu, Nanjian Wu, Ying Wang, Cong Shi
2024	A*	`conf`	AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents. NeurIPS Chang Ma, Junlei Zhang, Zhihao Zhu, Cheng Yang, Yujiu Yang, Yaohui Jin, Zhenzhong Lan, Lingpeng Kong, Junxian He
2024	J	`jnl`	AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents. CoRR Chang Ma, Junlei Zhang, Zhihao Zhu, Cheng Yang, Yujiu Yang, Yaohui Jin, Zhenzhong Lan, Lingpeng Kong, Junxian He
2024	J	`jnl`	B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners. CoRR Weihao Zeng, Yuzhen Huang, Lulu Zhao, Yijun Wang, Zifei Shan, Junxian He
2024	A*	`conf`	Belief Revision: The Adaptability of Large Language Models Reasoning. EMNLP Bryan Wilie, Samuel Cahyawijaya, Etsuko Ishii, Junxian He, Pascale Fung
2024	J	`jnl`	Belief Revision: The Adaptability of Large Language Models Reasoning. CoRR Bryan Wilie, Samuel Cahyawijaya, Etsuko Ishii, Junxian He, Pascale Fung
2024	J	`jnl`	Can ChatGPT assist visually impaired people with micro-navigation? CoRR Junxian He, Shrinivas J. Pundlik, Gang Luo
2024	A*	`conf`	Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. ICLR Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi
2024	J	`jnl`	Compression Represents Intelligence Linearly. CoRR Yuzhen Huang, Jinghan Zhang, Zifei Shan, Junxian He
2024	A*	`conf`	DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving. NeurIPS Yuxuan Tong, Xiwen Zhang, Rui Wang, Ruidong Wu, Junxian He
2024	J	`jnl`	DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving. CoRR Yuxuan Tong, Xiwen Zhang, Rui Wang, Ruidong Wu, Junxian He
2024	J	`jnl`	Diving into Self-Evolving Training for Multimodal Reasoning. CoRR Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He
2024	J	`jnl`	GeoGalactica: A Scientific Large Language Model in Geoscience. CoRR Zhouhan Lin, Cheng Deng, Le Zhou, Tianhang Zhang, Yi Xu, Yutong Xu, Zhongmou He, Yuanyuan Shi, Beiya Dai, Yunchong Song, Boyi Zeng, Qiyuan Chen, Tao Shi, Tianyu Huang, Yiwei Xu, Shu Wang, Luoyi Fu, Weinan Zhang, Junxian He, Chao Ma, Yunqiang Zhu, Xinbing Wang, Chenghu Zhou
2024	A*	`conf`	In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation. ICML Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He
2024	J	`jnl`	In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation. CoRR Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He
2024	—	`conf`	InstructCoder: Instruction Tuning Large Language Models for Code Editing. ACL (Student Research Workshop) Kaixin Li, Qisheng Hu, James Xu Zhao, Hui Chen, Yuxi Xie, Tiedong Liu, Michael Shieh, Junxian He
2024	—	`conf`	IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce. EMNLP (Findings) Wenxuan Ding, Weiqi Wang, Sze Heng Douglas Kwok, Minghao Liu, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Junxian He, Yangqiu Song
2024	J	`jnl`	IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce. CoRR Wenxuan Ding, Weiqi Wang, Sze Heng Douglas Kwok, Minghao Liu, Tianqing Fang, Jiaxin Bai, Junxian He, Yangqiu Song
2024	A	`conf`	K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. WSDM Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He
2024	J	`jnl`	Non-myopic Generation of Language Models for Reasoning and Planning. CoRR Chang Ma, Haiteng Zhao, Junlei Zhang, Junxian He, Lingpeng Kong
2024	J	`jnl`	OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis. CoRR Qiushi Sun, Kanzhi Cheng, Zichen Ding, Chuanyang Jin, Yian Wang, Fangzhi Xu, Zhenyu Wu, Chengyou Jia, Liheng Chen, Zhoumianze Liu, Ben Kao, Guohao Li, Junxian He, Yu Qiao, Zhiyong Wu
2024	A*	`conf`	On the Universal Truthfulness Hyperplane Inside LLMs. EMNLP Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He
2024	J	`jnl`	On the Universal Truthfulness Hyperplane Inside LLMs. CoRR Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He
2024	—	`conf`	Prompt Optimization via Adversarial In-Context Learning. ACL (1) Do Xuan Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He
2024	A*	`conf`	Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs. NeurIPS Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei W. Koh, Bryan Hooi
2024	J	`jnl`	Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models. CoRR Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi
2024	A*	`conf`	What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. ICLR Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He
2023	J	`jnl`	A Survey of Reasoning with Foundation Models. CoRR Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li
2023	J	`jnl`	An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips. IEEE Trans. Circuits Syst. I Regul. Pap. Leyi Chen, Cong Shi, Junxian He, Jianyi Yu, Haibing Wang, Jing Lu, Liyuan Liu, Nanjian Wu, Min Tian
2023	J	`jnl`	An Edge Neuromorphic Hardware With Fast On-Chip Error-Triggered Learning on Compressive Sensed Spikes. IEEE Trans. Circuits Syst. II Express Briefs Cong Shi, Jingya Zhang, Tengxiao Wang, Zhengqing Zhong, Junxian He, Haoran Gao, Jianyi Yu, Ping Li, Min Tian
2023	—	`conf`	Automatic Model Selection with Large Language Models for Reasoning. EMNLP (Findings) James Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Michael Qizhe Xie
2023	J	`jnl`	Automatic Model Selection with Large Language Models for Reasoning. CoRR Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Qizhe Xie
2023	A*	`conf`	C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models. NeurIPS Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He
2023	J	`jnl`	C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models. CoRR Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He
2023	J	`jnl`	Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. CoRR Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi
2023	A*	`conf`	Composing Parameter-Efficient Modules with Arithmetic Operation. NeurIPS Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He
2023	J	`jnl`	Composing Parameter-Efficient Modules with Arithmetic Operations. CoRR Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He
2023	A*	`conf`	Contrastive Learning of Sentence Embeddings from Scratch. EMNLP Junlei Zhang, Zhenzhong Lan, Junxian He
2023	J	`jnl`	Contrastive Learning of Sentence Embeddings from Scratch. CoRR Junlei Zhang, Zhenzhong Lan, Junxian He
2023	J	`jnl`	Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding. CoRR Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, Xu Zhao, Min-Yen Kan, Junxian He, Qizhe Xie
2023	J	`jnl`	Evaluating Factual Consistency of Summaries with Large Language Models. CoRR Shiqi Chen, Siyang Gao, Junxian He
2023	A*	`conf`	FELM: Benchmarking Factuality Evaluation of Large Language Models. NeurIPS Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He
2023	J	`jnl`	FELM: Benchmarking Factuality Evaluation of Large Language Models. CoRR Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He
2023	J	`jnl`	FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. CoRR I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu
2023	J	`jnl`	InstructCoder: Empowering Language Models for Code Editing. CoRR Qisheng Hu, Kaixin Li, Xu Zhao, Yuxi Xie, Tiedong Liu, Hui Chen, Qizhe Xie, Junxian He
2023	J	`jnl`	Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. CoRR Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Le Zhou, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He
2023	—	`conf`	Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip. AICAS Zhengqing Zhong, Tengxiao Wang, Haibing Wang, Zhihua Zhou, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi
2023	J	`jnl`	Low-cost real-time VLSI system for high-accuracy optical flow estimation using biological motion features and random forests. Sci. China Inf. Sci. Cong Shi, Junxian He, Shrinivas J. Pundlik, Xichuan Zhou, Nanjian Wu, Gang Luo
2023	A*	`conf`	Mega: Moving Average Equipped Gated Attention. ICLR Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer
2023	—	`conf`	MorphBungee: A 65nm 7.2mm A-SSCC Tengxiao Wang, Min Tian, Zhengqing Zhong, Haibing Wang, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Nanjian Wu, Liyuan Liu, Cong Shi
2023	J	`jnl`	Prompt Optimization via Adversarial In-Context Learning. CoRR Xuan Long Do, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Qizhe Xie, Junxian He
2023	A*	`conf`	Self-Evaluation Guided Beam Search for Reasoning. NeurIPS Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, James Xu Zhao, Min-Yen Kan, Junxian He, Michael Qizhe Xie
2023	J	`jnl`	SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning. CoRR Keyu Duan, Qian Liu, Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He
2023	A*	`conf`	Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN. EMNLP Niloofar Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick
2023	—	`—`	Towards Efficient Natural Language Generation Junxian He
2023	J	`jnl`	What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. CoRR Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He
2022	—	`conf`	An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips. APCCAS Leyi Chen, Junxian He, Jianyi Yu, Haibing Wang, Jing Lu, Liyuan Liu, Nanjian Wu, Cong Shi, Min Tian
2022	A*	`conf`	CTRLsum: Towards Generic Controllable Text Summarization. EMNLP Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, Caiming Xiong
2022	A*	`conf`	Capturing Structural Locality in Non-parametric Language Models. ICLR Frank F. Xu, Junxian He, Graham Neubig, Vincent Josua Hellendoorn
2022	J	`jnl`	Mega: Moving Average Equipped Gated Attention. CoRR Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer
2022	—	`conf`	MorphBungee: An Edge Neuromorphic Chip for High-Accuracy On-Chip Learning of Multiple-Layer Spiking Neural Networks. BioCAS Tengxiao Wang, Haibing Wang, Junxian He, Zhengqing Zhong, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi
2022	A*	`conf`	Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. ICML Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig
2022	J	`jnl`	Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. CoRR Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig
2022	J	`jnl`	Non-Parametric Temporal Adaptation for Social Media Topic Classification. CoRR Fatemehsadat Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick
2022	—	`conf`	Prompt Consistency for Zero-Shot Task Generalization. EMNLP (Findings) Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022	J	`jnl`	Prompt Consistency for Zero-Shot Task Generalization. CoRR Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022	—	`conf`	TEDOP: A Tiny Event-Driven Neural Network Hardware Core Enabling On-Chip Spike-Driven Synaptic Plasticity. ICTA Cona Shi, Sihao Chen, Haibina Wana, Zhenaaina Zhona, Ping Li, Junxian He, Tengxiao Wang, Jianyi Yu, Min Tian
2022	A*	`conf`	Towards a Unified View of Parameter-Efficient Transfer Learning. ICLR Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022	J	`jnl`	TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity. IEEE Trans. Biomed. Circuits Syst. Haibing Wang, Zhen He, Tengxiao Wang, Junxian He, Xichuan Zhou, Ying Wang, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi
2021	—	`conf`	A Pixel-Parallel Array Processor without Computational Logic for Computational Image Sensors. ICTA Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He, Ping Li, Liyuan Liu, Nanjian Wu, Cong Shi
2021	J	`jnl`	Capturing Structural Locality in Non-parametric Language Models. CoRR Frank F. Xu, Junxian He, Graham Neubig, Vincent J. Hellendoorn
2021	J	`jnl`	CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features. Neurocomputing Tengxiao Wang, Cong Shi, Xichuan Zhou, Yingcheng Lin, Junxian He, Ping Gan, Ping Li, Ying Wang, Liyuan Liu, Nanjian Wu, Gang Luo
2021	J	`jnl`	DeepTempo: A Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs Cong Shi, Tengxiao Wang, Junxian He, Jianghao Zhang, Liyuan Liu, Nanjian Wu
2021	B	`conf`	Dependency Induction Through the Lens of Visual Perception. CoNLL Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig
2021	J	`jnl`	Dependency Induction Through the Lens of Visual Perception. CoRR Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig
2021	—	`conf`	Efficient Nearest Neighbor Language Models. EMNLP (1) Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
2021	J	`jnl`	Efficient Nearest Neighbor Language Models. CoRR Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
2021	A	`conf`	The Source-Target Domain Mismatch Problem in Machine Translation. EACL Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2021	J	`jnl`	Towards a Unified View of Parameter-Efficient Transfer Learning. CoRR Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2021	—	`conf`	TripleBrain: An Edge Neuromorphic Architecture for High-accuracy Single-layer Spiking Neural Network with On-chip Self-organizing and Reinforcement Learning. ICTA Haibing Wang, Zhen He, Jinsong Rao, Tengxiao Wang, Junxian He, Min Tian, Xichuan Zhou, Liyuan Liu, Nanjian Wu, Cong Shi
2020	J	`jnl`	A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification. Sensors Wei He, Jinguo Huang, Tengxiao Wang, Yingcheng Lin, Junxian He, Xichuan Zhou, Ping Li, Ying Wang, Nanjian Wu, Cong Shi
2020	—	`conf`	A High-speed Low-cost CNN Inference Accelerator for Depthwise Separable Convolution. ICTA Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He, Ping Li, Ying Jiang, Liyuan Liu, Nanjian Wu, Cong Shi
2020	A*	`conf`	A Probabilistic Formulation of Unsupervised Text Style Transfer. ICLR Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick
2020	J	`jnl`	A Probabilistic Formulation of Unsupervised Text Style Transfer. CoRR Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick
2020	J	`jnl`	CTRLsum: Towards Generic Controllable Text Summarization. CoRR Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Fatema Rajani, Caiming Xiong
2020	A*	`conf`	Learning Sparse Prototypes for Text Generation. NeurIPS Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig
2020	J	`jnl`	Learning Sparse Prototypes for Text Generation. CoRR Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig
2020	—	`conf`	On the Sentence Embeddings from Pre-trained Language Models. EMNLP (1) Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li
2020	J	`jnl`	On the Sentence Embeddings from Pre-trained Language Models. CoRR Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li
2020	A*	`conf`	Revisiting Self-Training for Neural Sequence Generation. ICLR Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato
2019	—	`conf`	20, 000-fps Visual Motion Magnification on Pixel-parallel Vision Chip. ASICON Junxian He, Xichuan Zhou, Yingcheng Lin, Chonglei Sun, Cong Shi, Nanjian Wu, Gang Luo
2019	—	`conf`	A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. EMNLP/IJCNLP (1) Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang
2019	J	`jnl`	A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. CoRR Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang
2019	—	`conf`	Choosing Transfer Languages for Cross-Lingual Learning. ACL (1) Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig
2019	J	`jnl`	Choosing Transfer Languages for Cross-Lingual Learning. CoRR Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig
2019	—	`conf`	Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. ACL (1) Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig
2019	J	`jnl`	Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. CoRR Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig
2019	—	`conf`	Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. ICLR (Poster) Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick
2019	J	`jnl`	Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. CoRR Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick
2019	J	`jnl`	Revisiting Self-Training for Neural Sequence Generation. CoRR Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato
2019	—	`conf`	Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing
2019	J	`jnl`	The Source-Target Domain Mismatch Problem in Machine Translation. CoRR Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2018	—	`conf`	StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. ACL (1) Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig
2018	J	`jnl`	StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. CoRR Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig
2018	J	`jnl`	Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing
2018	A*	`conf`	Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. EMNLP Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
2018	J	`jnl`	Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. CoRR Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
2017	A*	`conf`	Efficient Correlated Topic Modeling with Topic Embedding. KDD Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing
2017	J	`jnl`	Efficient Correlated Topic Modeling with Topic Embedding. CoRR Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing
2016	—	`conf`	Text Network Exploration via Heterogeneous Web of Topics. ICDM Workshops Junxian He, Ying Huang, Changfeng Liu, Jiaming Shen, Yuting Jia, Xinbing Wang
2016	J	`jnl`	Text Network Exploration via Heterogeneous Web of Topics. CoRR Junxian He, Ying Huang, Changfeng Liu, Jiaming Shen, Yuting Jia, Xinbing Wang