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Junxian He

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

46

Venues

9

Active years

2016–2026

Best venue rank

A*

Where they publish

Papers

46 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLE³-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning.Weiyang Guo, Zesheng Shi, Liye Zhao, Jiayuan Ma, Zeen Zhu, Junxian He, Min Zhang, Jing Li
2026ACLHow Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective.Tongyao Zhu, Qian Liu, Chang Ma, Jinghan Zhang, Longxu Dou, Junxian He, Shiqi Chen
2025ACLRevisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies.Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang
2025ACLOS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis.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
2025ACLGenius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning.Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Qiushi Sun, Kanzhi Cheng, Junxian He, Jun Liu, Zhiyong Wu
2025EMNLPOn the Perception Bottleneck of VLMs for Chart Understanding.Junteng Liu, Weihao Zeng, Xiwen Zhang, Yijun Wang, Zifei Shan, Junxian He
2025ICLRNon-myopic Generation of Language Models for Reasoning and Planning.Chang Ma, Haiteng Zhao, Junlei Zhang, Junxian He, Lingpeng Kong
2025ICLRB-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners.Weihao Zeng, Yuzhen Huang, Lulu Zhao, Yijun Wang, Zifei Shan, Junxian He
2025ICMLBring Reason to Vision: Understanding Perception and Reasoning through Model Merging.Shiqi Chen, Jinghan Zhang, Tongyao Zhu, Wei Liu, Siyang Gao, Miao Xiong, Manling Li, Junxian He
2025ICMLWhy Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas.Shiqi Chen, Tongyao Zhu, Ruochen Zhou, Jinghan Zhang, Siyang Gao, Juan Carlos Niebles, Mor Geva, Junxian He, Jiajun Wu, Manling Li
2025ICMLDiving into Self-Evolving Training for Multimodal Reasoning.Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He
2025ICMLCodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction.Junlong Li, Daya Guo, Dejian Yang, Runxin Xu, Yu Wu, Junxian He
2025ICMLPredictive Data Selection: The Data That Predicts Is the Data That Teaches.KaShun Shum, Yuzhen Huang, Hongjian Zou, Qi Ding, Yixuan Liao, Xiaoxin Chen, Qian Liu, Junxian He
2024ACLInstructCoder: Instruction Tuning Large Language Models for Code Editing.Kaixin Li, Qisheng Hu, James Xu Zhao, Hui Chen, Yuxi Xie, Tiedong Liu, Michael Shieh, Junxian He
2024ACLPrompt Optimization via Adversarial In-Context Learning.Do Xuan Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He
2024EMNLPIntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce.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
2024EMNLPOn the Universal Truthfulness Hyperplane Inside LLMs.Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He
2024EMNLPBelief Revision: The Adaptability of Large Language Models Reasoning.Bryan Wilie, Samuel Cahyawijaya, Etsuko Ishii, Junxian He, Pascale Fung
2024ICLRWhat Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning.Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He
2024ICLRCan LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi
2024ICMLIn-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation.Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He
2024WSDMK2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He
2023EMNLPSimple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN.Niloofar Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick
2023EMNLPContrastive Learning of Sentence Embeddings from Scratch.Junlei Zhang, Zhenzhong Lan, Junxian He
2023EMNLPAutomatic Model Selection with Large Language Models for Reasoning.James Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Michael Qizhe Xie
2023ICLRMega: Moving Average Equipped Gated Attention.Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer
2022EMNLPCTRLsum: Towards Generic Controllable Text Summarization.Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, Caiming Xiong
2022EMNLPPrompt Consistency for Zero-Shot Task Generalization.Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022ICLRTowards a Unified View of Parameter-Efficient Transfer Learning.Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022ICLRCapturing Structural Locality in Non-parametric Language Models.Frank F. Xu, Junxian He, Graham Neubig, Vincent Josua Hellendoorn
2022ICMLNeuro-Symbolic Language Modeling with Automaton-augmented Retrieval.Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig
2021CoNLLDependency Induction Through the Lens of Visual Perception.Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig
2021EACLThe Source-Target Domain Mismatch Problem in Machine Translation.Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2021EMNLPEfficient Nearest Neighbor Language Models.Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
2020EMNLPOn the Sentence Embeddings from Pre-trained Language Models.Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li
2020ICLRRevisiting Self-Training for Neural Sequence Generation.Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato
2020ICLRA Probabilistic Formulation of Unsupervised Text Style Transfer.Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick
2019ACLCross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections.Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig
2019ACLTexar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.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
2019ACLChoosing Transfer Languages for Cross-Lingual Learning.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
2019EMNLPA Surprisingly Effective Fix for Deep Latent Variable Modeling of Text.Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang
2019ICLRLagging Inference Networks and Posterior Collapse in Variational Autoencoders.Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick
2018ACLStructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing.Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig
2018EMNLPUnsupervised Learning of Syntactic Structure with Invertible Neural Projections.Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
2017KDDEfficient Correlated Topic Modeling with Topic Embedding.Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing
2016ICDMText Network Exploration via Heterogeneous Web of Topics.Junxian He, Ying Huang, Changfeng Liu, Jiaming Shen, Yuting Jia, Xinbing Wang