Junxian He

According to our database, Junxian He authored at least 63 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

In-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

CoRR, 2024

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models.

Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi

CoRR, 2024

AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents.

Chang Ma, Junlei Zhang, Zhihao Zhu, Cheng Yang, Yujiu Yang, Yaohui Jin, Zhenzhong Lan, Lingpeng Kong, Junxian He

CoRR, 2024

GeoGalactica: A Scientific Large Language Model in Geoscience.

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

CoRR, 2024

K2: 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

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips.

Leyi Chen, Cong Shi, Junxian He, Jianyi Yu, Haibing Wang, Jing Lu, Liyuan Liu, Nanjian Wu, Min Tian

IEEE Trans. Circuits Syst. I Regul. Pap., November, 2023

An Edge Neuromorphic Hardware With Fast On-Chip Error-Triggered Learning on Compressive Sensed Spikes.

Cong Shi, Jingya Zhang, Tengxiao Wang, Zhengqing Zhong, Junxian He, Haoran Gao, Jianyi Yu, Ping Li, Min Tian

IEEE Trans. Circuits Syst. II Express Briefs, July, 2023

Low-cost real-time VLSI system for high-accuracy optical flow estimation using biological motion features and random forests.

Cong Shi, Junxian He, Shrinivas J. Pundlik, Xichuan Zhou, Nanjian Wu, Gang Luo

Sci. China Inf. Sci., May, 2023

What 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

CoRR, 2023

A Survey of Reasoning with Foundation Models.

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

CoRR, 2023

Prompt Optimization via Adversarial In-Context Learning.

Xuan Long Do, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Qizhe Xie, Junxian He

CoRR, 2023

InstructCoder: Empowering Language Models for Code Editing.

Qisheng Hu, Kaixin Li, Xu Zhao, Yuxi Xie, Tiedong Liu, Hui Chen, Qizhe Xie, Junxian He

CoRR, 2023

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning.

Keyu Duan, Qian Liu, Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He

CoRR, 2023

FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.

I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu

CoRR, 2023

Composing Parameter-Efficient Modules with Arithmetic Operations.

Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He

CoRR, 2023

Can 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

CoRR, 2023

Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.

Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Le Zhou, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He

CoRR, 2023

Automatic Model Selection with Large Language Models for Reasoning.

Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Qizhe Xie

CoRR, 2023

Evaluating Factual Consistency of Summaries with Large Language Models.

Shiqi Chen, Siyang Gao, Junxian He

CoRR, 2023

Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding.

Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, Xu Zhao, Min-Yen Kan, Junxian He, Qizhe Xie

CoRR, 2023

Composing Parameter-Efficient Modules with Arithmetic Operation.

Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Evaluation Guided Beam Search for Reasoning.

Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, James Xu Zhao, Min-Yen Kan, Junxian He, Michael Qizhe Xie

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FELM: Benchmarking Factuality Evaluation of Large Language Models.

Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mega: Moving Average Equipped Gated Attention.

Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Automatic Model Selection with Large Language Models for Reasoning.

James Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Michael Qizhe Xie

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Contrastive Learning of Sentence Embeddings from Scratch.

Junlei Zhang, Zhenzhong Lan, Junxian He

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Simple 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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MorphBungee: A 65nm 7.2mm² 27μJ/image Digital Edge Neuromorphic Chip with On-Chip 802 Frame/s Multi-Layer Spiking Neural Network Learning.

Tengxiao Wang, Min Tian, Zhengqing Zhong, Haibing Wang, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Nanjian Wu, Liyuan Liu, Cong Shi

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023

Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip.

Zhengqing Zhong, Tengxiao Wang, Haibing Wang, Zhihua Zhou, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity.

Haibing Wang, Zhen He, Tengxiao Wang, Junxian He, Xichuan Zhou, Ying Wang, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi

IEEE Trans. Biomed. Circuits Syst., 2022

Non-Parametric Temporal Adaptation for Social Media Topic Classification.

Fatemehsadat Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick

CoRR, 2022

TEDOP: A Tiny Event-Driven Neural Network Hardware Core Enabling On-Chip Spike-Driven Synaptic Plasticity.

Cona Shi, Sihao Chen, Haibina Wana, Zhenaaina Zhona, Ping Li, Junxian He, Tengxiao Wang, Jianyi Yu, Min Tian

Proceedings of the 2022 IEEE International Conference on Integrated Circuits, 2022

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval.

Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig

Proceedings of the International Conference on Machine Learning, 2022

Capturing Structural Locality in Non-parametric Language Models.

Frank F. Xu, Junxian He, Graham Neubig, Vincent Josua Hellendoorn

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards a Unified View of Parameter-Efficient Transfer Learning.

Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig

Proceedings of the Tenth International Conference on Learning Representations, 2022

Prompt Consistency for Zero-Shot Task Generalization.

Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

CTRLsum: Towards Generic Controllable Text Summarization.

Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, Caiming Xiong

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MorphBungee: An Edge Neuromorphic Chip for High-Accuracy On-Chip Learning of Multiple-Layer Spiking Neural Networks.

Tengxiao Wang, Haibing Wang, Junxian He, Zhengqing Zhong, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021

DeepTempo: A Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Networks.

Cong Shi, Tengxiao Wang, Junxian He, Jianghao Zhang, Liyuan Liu, Nanjian Wu

IEEE Trans. Circuits Syst. II Express Briefs, 2021

CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features.

Tengxiao Wang, Cong Shi, Xichuan Zhou, Yingcheng Lin, Junxian He, Ping Gan, Ping Li, Ying Wang, Liyuan Liu, Nanjian Wu, Gang Luo

Neurocomputing, 2021

TripleBrain: An Edge Neuromorphic Architecture for High-accuracy Single-layer Spiking Neural Network with On-chip Self-organizing and Reinforcement Learning.

Haibing Wang, Zhen He, Jinsong Rao, Tengxiao Wang, Junxian He, Min Tian, Xichuan Zhou, Liyuan Liu, Nanjian Wu, Cong Shi

Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

A Pixel-Parallel Array Processor without Computational Logic for Computational Image Sensors.

Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He, Ping Li, Liyuan Liu, Nanjian Wu, Cong Shi

Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

Efficient Nearest Neighbor Language Models.

Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

The 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

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Dependency Induction Through the Lens of Visual Perception.

Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020

A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification.

Wei He, Jinguo Huang, Tengxiao Wang, Yingcheng Lin, Junxian He, Xichuan Zhou, Ping Li, Ying Wang, Nanjian Wu, Cong Shi

Sensors, 2020

Learning Sparse Prototypes for Text Generation.

Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A High-speed Low-cost CNN Inference Accelerator for Depthwise Separable Convolution.

Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He, Ping Li, Ying Jiang, Liyuan Liu, Nanjian Wu, Cong Shi

Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020

A Probabilistic Formulation of Unsupervised Text Style Transfer.

Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 8th International Conference on Learning Representations, 2020

Revisiting Self-Training for Neural Sequence Generation.

Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato

Proceedings of the 8th International Conference on Learning Representations, 2020

On the Sentence Embeddings from Pre-trained Language Models.

Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Lagging Inference Networks and Posterior Collapse in Variational Autoencoders.

Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 7th International Conference on Learning Representations, 2019

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text.

Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

20, 000-fps Visual Motion Magnification on Pixel-parallel Vision Chip.

Junxian He, Xichuan Zhou, Yingcheng Lin, Chonglei Sun, Cong Shi, Nanjian Wu, Gang Luo

Proceedings of the 13th IEEE International Conference on ASIC, 2019

Choosing 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

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Texar: 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

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections.

Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.

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

CoRR, 2018

Unsupervised Learning of Syntactic Structure with Invertible Neural Projections.

Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing.

Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Efficient Correlated Topic Modeling with Topic Embedding.

Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Text Network Exploration via Heterogeneous Web of Topics.

Junxian He, Ying Huang, Changfeng Liu, Jiaming Shen, Yuting Jia, Xinbing Wang

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016