Text Network Exploration via Heterogeneous Web of Topics. - Junxian He; Ying Huang; Changfeng Liu; Jiaming Shen; Yuting Jia; Xinbing Wang (ICDM Workshops, 2016)

Efficient Correlated Topic Modeling with Topic Embedding. - Junxian He; Zhiting Hu; Taylor Berg-Kirkpatrick; Ying Huang; Eric P. Xing (KDD, 2017)

StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. - Pengcheng Yin; Chunting Zhou; Junxian He; Graham Neubig (ACL (1), 2018)

Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. - Junxian He; Graham Neubig; Taylor Berg-Kirkpatrick (EMNLP, 2018)

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. - Zhiting Hu; Haoran Shi 001; Zichao Yang; Bowen Tan; Tiancheng Zhao; Junxian He; Wentao Wang; Xingjiang Yu; Lianhui Qin; Di Wang 030; Xuezhe Ma; Zhengzhong Liu 001; et al. (CoRR, 2018)

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. - Junxian He; Zhisong Zhang; Taylor Berg-Kirkpatrick; Graham Neubig (ACL (1), 2019)

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. - Zhiting Hu; Haoran Shi 001; Bowen Tan; Wentao Wang; Zichao Yang; Tiancheng Zhao; Junxian He; Lianhui Qin; Di Wang 030; Xuezhe Ma; Zhengzhong Liu 001; Xiaodan Liang; et al. (ACL (3), 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; et al. (ACL (1), 2019)

20, 000-fps Visual Motion Magnification on Pixel-parallel Vision Chip. - Junxian He; Xichuan Zhou; Yingcheng Lin; Chonglei Sun; Cong Shi 003; Nanjian Wu; Gang Luo 003 (ASICON, 2019)

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. - Bohan Li; Junxian He; Graham Neubig; Taylor Berg-Kirkpatrick; Yiming Yang (EMNLP/IJCNLP (1), 2019)

Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. - Junxian He; Daniel Spokoyny; Graham Neubig; Taylor Berg-Kirkpatrick (ICLR (Poster), 2019)

On the Sentence Embeddings from Pre-trained Language Models. - Bohan Li; Hao Zhou 012; Junxian He; Mingxuan Wang; Yiming Yang; Lei Li 005 (EMNLP (1), 2020)

Revisiting Self-Training for Neural Sequence Generation. - Junxian He; Jiatao Gu; Jiajun Shen; Marc'Aurelio Ranzato (ICLR, 2020)

A Probabilistic Formulation of Unsupervised Text Style Transfer. - Junxian He; Xinyi Wang 001; Graham Neubig; Taylor Berg-Kirkpatrick (ICLR, 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 042; Ying Jiang; Liyuan Liu; Nanjian Wu; Cong Shi 003 (ICTA, 2020)

Learning Sparse Prototypes for Text Generation. - Junxian He; Taylor Berg-Kirkpatrick; Graham Neubig (NeurIPS, 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 042; Ying Wang 001; Nanjian Wu; Cong Shi 003 (Sensors, 2020)

Dependency Induction Through the Lens of Visual Perception. - Ruisi Su; Shruti Rijhwani; Hao Zhu 011; Junxian He; Xinyu Wang; Yonatan Bisk; Graham Neubig (CoNLL, 2021)

The Source-Target Domain Mismatch Problem in Machine Translation. - Jiajun Shen; Peng-Jen Chen; Matt Le 001; Junxian He; Jiatao Gu; Myle Ott; Michael Auli; Marc'Aurelio Ranzato (EACL, 2021)

Efficient Nearest Neighbor Language Models. - Junxian He; Graham Neubig; Taylor Berg-Kirkpatrick (EMNLP (1), 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 042; Liyuan Liu; Nanjian Wu; Cong Shi 003 (ICTA, 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 003 (ICTA, 2021)

CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features. - Tengxiao Wang; Cong Shi 003; Xichuan Zhou; Yingcheng Lin; Junxian He; Ping Gan; Ping Li 042; Ying Wang 001; Liyuan Liu; Nanjian Wu; Gang Luo 003 (Neurocomputing, 2021)

DeepTempo: A Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Networks. - Cong Shi 003; Tengxiao Wang; Junxian He; Jianghao Zhang; Liyuan Liu; Nanjian Wu (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

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 003 (BioCAS, 2022)

CTRLsum: Towards Generic Controllable Text Summarization. - Junxian He; Wojciech Kryscinski; Bryan McCann; Nazneen Rajani; Caiming Xiong (EMNLP, 2022)

Prompt Consistency for Zero-Shot Task Generalization. - Chunting Zhou; Junxian He; Xuezhe Ma; Taylor Berg-Kirkpatrick; Graham Neubig (EMNLP (Findings), 2022)

Towards a Unified View of Parameter-Efficient Transfer Learning. - Junxian He; Chunting Zhou; Xuezhe Ma; Taylor Berg-Kirkpatrick; Graham Neubig (ICLR, 2022)

Capturing Structural Locality in Non-parametric Language Models. - Frank F. Xu; Junxian He; Graham Neubig; Vincent Josua Hellendoorn (ICLR, 2022)

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. - Uri Alon 002; Frank F. Xu; Junxian He; Sudipta Sengupta; Dan Roth 001; Graham Neubig (ICML, 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 042; Junxian He; Tengxiao Wang; Jianyi Yu; Min Tian (ICTA, 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)

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 001; Liyuan Liu; Nanjian Wu; Min Tian; Cong Shi 003 (IEEE Trans. Biomed. Circuits Syst., 2022)

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 003 (AICAS, 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 003 (A-SSCC, 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 (EMNLP, 2023)

Contrastive Learning of Sentence Embeddings from Scratch. - Junlei Zhang; Zhenzhong Lan; Junxian He (EMNLP, 2023)

Automatic Model Selection with Large Language Models for Reasoning. - James Xu Zhao; Yuxi Xie; Kenji Kawaguchi; Junxian He; Michael Qizhe Xie (EMNLP (Findings), 2023)

Mega: Moving Average Equipped Gated Attention. - Xuezhe Ma; Chunting Zhou; Xiang Kong; Junxian He; Liangke Gui; Graham Neubig; Jonathan May; Luke Zettlemoyer (ICLR, 2023)

FELM: Benchmarking Factuality Evaluation of Large Language Models. - Shiqi Chen; Yiran Zhao 006; Jinghan Zhang 006; I-Chun Chern; Siyang Gao; Pengfei Liu 003; Junxian He (NeurIPS, 2023)

C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models. - Yuzhen Huang; Yuzhuo Bai; Zhihao Zhu; Junlei Zhang; Jinghan Zhang 006; Tangjun Su; Junteng Liu; Chuancheng Lv; Yikai Zhang; Jiayi Lei; Yao Fu; Maosong Sun 001; et al. (NeurIPS, 2023)

Self-Evaluation Guided Beam Search for Reasoning. - Yuxi Xie; Kenji Kawaguchi; Yiran Zhao 006; James Xu Zhao; Min-Yen Kan; Junxian He; Michael Qizhe Xie (NeurIPS, 2023)

Composing Parameter-Efficient Modules with Arithmetic Operation. - Jinghan Zhang 006; Shiqi Chen; Junteng Liu; Junxian He (NeurIPS, 2023)

Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding. - Yuxi Xie; Kenji Kawaguchi; Yiran Zhao 006; Xu Zhao; Min-Yen Kan; Junxian He; Qizhe Xie (CoRR, 2023)

Evaluating Factual Consistency of Summaries with Large Language Models. - Shiqi Chen; Siyang Gao; 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)

Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. - Cheng Deng; Tianhang Zhang; Zhongmou He; Qiyuan Chen 002; Yuanyuan Shi; Le Zhou; Luoyi Fu; Weinan Zhang 001; Xinbing Wang; Chenghu Zhou; Zhouhan Lin; Junxian He (CoRR, 2023)

Composing Parameter-Efficient Modules with Arithmetic Operations. - Jinghan Zhang 006; Shiqi Chen; Junteng Liu; 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 003 (CoRR, 2023)

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning. - Keyu Duan; Qian Liu 012; Tat-Seng Chua; Shuicheng Yan; Wei Tsang Ooi; 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)

Prompt Optimization via Adversarial In-Context Learning. - Xuan Long Do; Yiran Zhao 006; Hannah Brown; Yuxi Xie; James Xu Zhao; Nancy F. Chen; Kenji Kawaguchi; Michael Qizhe Xie; 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 001; Mengzhe Geng; Yue Wu 002; Wenhai Wang; et al. (CoRR, 2023)

Towards Efficient Natural Language Generation - Junxian He (2023)

Low-cost real-time VLSI system for high-accuracy optical flow estimation using biological motion features and random forests. - Cong Shi 003; Junxian He; Shrinivas J. Pundlik; Xichuan Zhou; Nanjian Wu; Gang Luo 003 (Sci. China Inf. Sci., 2023)

An Edge Neuromorphic Hardware With Fast On-Chip Error-Triggered Learning on Compressive Sensed Spikes. - Cong Shi 003; Jingya Zhang; Tengxiao Wang; Zhengqing Zhong; Junxian He; Haoran Gao; Jianyi Yu; Ping Li 042; Min Tian (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips. - Leyi Chen; Cong Shi 003; Junxian He; Jianyi Yu; Haibing Wang; Jing Lu; Liyuan Liu; Nanjian Wu; Min Tian (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

InstructCoder: 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 (ACL (Student Research Workshop), 2024)

Prompt Optimization via Adversarial In-Context Learning. - Do Xuan Long; Yiran Zhao 006; Hannah Brown; Yuxi Xie; James Xu Zhao; Nancy F. Chen; Kenji Kawaguchi; Michael Shieh; Junxian He (ACL (1), 2024)

IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce. - Wenxuan Ding 001; Weiqi Wang 001; Sze Heng Douglas Kwok; Minghao Liu; Tianqing Fang; Jiaxin Bai; Xin Liu 039; Changlong Yu; Zheng Li 018; Chen Luo 003; Qingyu Yin; Bing Yin; et al. (EMNLP (Findings), 2024)

On the Universal Truthfulness Hyperplane Inside LLMs. - Junteng Liu; Shiqi Chen; Yu Cheng 001; Junxian He (EMNLP, 2024)

Belief Revision: The Adaptability of Large Language Models Reasoning. - Bryan Wilie; Samuel Cahyawijaya; Etsuko Ishii; Junxian He; Pascale Fung (EMNLP, 2024)

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. - Wei Liu 131; Weihao Zeng; Keqing He 001; Yong Jiang 001; Junxian He (ICLR, 2024)

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. - Miao Xiong; Zhiyuan Hu; Xinyang Lu; Yifei Li; Jie Fu 001; Junxian He; Bryan Hooi (ICLR, 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 (ICML, 2024)

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs. - Zhiyuan Hu; Chumin Liu; Xidong Feng; Yilun Zhao 001; See-Kiong Ng; Anh Tuan Luu; Junxian He; Pang Wei W. Koh; Bryan Hooi (NeurIPS, 2024)

AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents. - Chang Ma; Junlei Zhang; Zhihao Zhu; Cheng Yang 007; Yujiu Yang; Yaohui Jin; Zhenzhong Lan; Lingpeng Kong; Junxian He (NeurIPS, 2024)

DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving. - Yuxuan Tong; Xiwen Zhang; Rui Wang; Ruidong Wu; Junxian He (NeurIPS, 2024)

K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. - Cheng Deng; Tianhang Zhang; Zhongmou He; Qiyuan Chen 002; Yuanyuan Shi; Yi Xu 004; Luoyi Fu; Weinan Zhang 001; Xinbing Wang; Chenghu Zhou; Zhouhan Lin; Junxian He (WSDM, 2024)

A visual cortex-inspired edge neuromorphic hardware architecture with on-chip multi-layer STDP learning. - Junxian He; Min Tian; Ying Jiang; Haibing Wang; Tengxiao Wang; Xichuan Zhou; Liyuan Liu; Nanjian Wu; Ying Wang 001; Cong Shi 003 (Comput. Electr. Eng., 2024)

GeoGalactica: A Scientific Large Language Model in Geoscience. - Zhouhan Lin; Cheng Deng; Le Zhou; Tianhang Zhang; Yi Xu 004; Yutong Xu; Zhongmou He; Yuanyuan Shi; Beiya Dai; Yunchong Song; Boyi Zeng; Qiyuan Chen 002; et al. (CoRR, 2024)

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models. - Zhiyuan Hu; Chumin Liu; Xidong Feng; Yilun Zhao 001; See-Kiong Ng; Anh Tuan Luu; Junxian He; Pang Wei Koh; Bryan Hooi (CoRR, 2024)

Compression Represents Intelligence Linearly. - Yuzhen Huang; Jinghan Zhang 006; Zifei Shan; Junxian He (CoRR, 2024)

IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce. - Wenxuan Ding 001; Weiqi Wang 001; Sze Heng Douglas Kwok; Minghao Liu; Tianqing Fang; Jiaxin Bai; Junxian He; Yangqiu Song (CoRR, 2024)

Can ChatGPT assist visually impaired people with micro-navigation? - Junxian He; Shrinivas J. Pundlik; Gang Luo 003 (CoRR, 2024)

Diving into Self-Evolving Training for Multimodal Reasoning. - Wei Liu 131; Junlong Li; Xiwen Zhang; Fan Zhou; Yu Cheng 001; Junxian He (CoRR, 2024)

Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies. - Zhengyu Chen 001; Siqi Wang; Teng Xiao; Yudong Wang; Shiqi Chen; Xunliang Cai; Junxian He; Jingang Wang (ACL (1), 2025)

OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis. - Qiushi Sun; Kanzhi Cheng; Zichen Ding 002; Chuanyang Jin; Yian Wang 003; Fangzhi Xu; Zhenyu Wu; Chengyou Jia; Liheng Chen; Zhoumianze Liu; Ben Kao; Guohao Li 001; et al. (ACL (1), 2025)

Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning. - Fangzhi Xu; Hang Yan 010; Chang Ma; Haiteng Zhao; Qiushi Sun; Kanzhi Cheng; Junxian He; Jun Liu 002; Zhiyong Wu 003 (ACL (1), 2025)

Non-myopic Generation of Language Models for Reasoning and Planning. - Chang Ma; Haiteng Zhao; Junlei Zhang; Junxian He; Lingpeng Kong (ICLR, 2025)

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners. - Weihao Zeng; Yuzhen Huang; Lulu Zhao; Yijun Wang; Zifei Shan; Junxian He (ICLR, 2025)

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction. - Junlong Li; Daya Guo; Dejian Yang; Runxin Xu; Yu Wu; Junxian He (CoRR, 2025)

MorphBungee: A 65-nm 7.2-mm2 27-µJ/Image Digital Edge Neuromorphic Chip With on-Chip 802-Frame/s Multi-Layer Spiking Neural Network Learning. - Tengxiao Wang; Min Tian; Haibing Wang; Zhengqing Zhong; Junxian He; Fang Tang; Xichuan Zhou; Yingcheng Lin; Shuangming Yu; Liyuan Liu; Cong Shi 003 (IEEE Trans. Biomed. Circuits Syst., 2025)

Predictive 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 012; Junxian He (CoRR, 2025)

Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas. - Shiqi Chen; Tongyao Zhu; Ruochen Zhou; Jinghan Zhang 006; Siyang Gao; Juan Carlos Niebles; Mor Geva; Junxian He; Jiajun Wu 001; Manling Li (CoRR, 2025)

High-Dimensional Interlingual Representations of Large Language Models. - Bryan Wilie; Samuel Cahyawijaya; Junxian He; Pascale Fung (CoRR, 2025)

On the Perception Bottleneck of VLMs for Chart Understanding. - Junteng Liu; Weihao Zeng; Xiwen Zhang; Yijun Wang; Zifei Shan; Junxian He (CoRR, 2025)

SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild. - Weihao Zeng; Yuzhen Huang; Qian Liu 012; Wei Liu 131; Keqing He 001; Zejun Ma; Junxian He (CoRR, 2025)

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. - Xiaoye Qu; Yafu Li; Zhaochen Su; Weigao Sun; Jianhao Yan; Dongrui Liu; Ganqu Cui; Daizong Liu; Shuxian Liang; Junxian He; Peng Li 030; Wei Wei 002; et al. (CoRR, 2025)

Breaking the Data Barrier - Building GUI Agents Through Task Generalization. - Junlei Zhang; Zichen Ding 002; Chang Ma; Zijie Chen; Qiushi Sun; Zhenzhong Lan; Junxian He (CoRR, 2025)

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging. - Shiqi Chen; Jinghan Zhang 006; Tongyao Zhu; Wei Liu 131; Siyang Gao; Miao Xiong; Manling Li; Junxian He (CoRR, 2025)

Learn to Reason Efficiently with Adaptive Length-based Reward Shaping. - Wei Liu 131; Ruochen Zhou; Yiyun Deng; Yuzhen Huang; Junteng Liu; Yuntian Deng; Yizhe Zhang; Junxian He (CoRR, 2025)

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond. - Junteng Liu; Yuanxiang Fan; Zhuo Jiang; Han Ding; Yongyi Hu; Chi Zhang; Yiqi Shi; Shitong Weng; Aili Chen; Shiqi Chen; Yunan Huang; Mozhi Zhang; et al. (CoRR, 2025)

Pitfalls of Rule- and Model-based Verifiers - A Case Study on Mathematical Reasoning. - Yuzhen Huang; Weihao Zeng; Xingshan Zeng; Qi Zhu; Junxian He (CoRR, 2025)

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention. - Aili Chen; Aonian Li; Bangwei Gong; Binyang Jiang; Bo Fei; Bo Yang; Boji Shan; Changqing Yu; Chao Wang; Cheng Zhu; Chengjun Xiao; Chengyu Du; et al. (CoRR, 2025)

Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers. - Zhaochen Su; Peng Xiang; Hangyu Guo; Zhenhua Liu; Yan Ma; Xiaoye Qu; Jiaqi Liu; Yanshu Li; Kaide Zeng; Zhengyuan Yang; Linjie Li; Yu Cheng 001; et al. (CoRR, 2025)

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning? - Ruochen Zhou; Minrui Xu; Shiqi Chen; Junteng Liu; Yunqi Li; Xinxin Lin; Zhengyu Chen 001; Junxian He (CoRR, 2025)

Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs. - Zhengyu Chen 001; Siqi Wang; Teng Xiao; Yudong Wang; Shiqi Chen; Xunliang Cai; Junxian He; Jingang Wang (CoRR, 2025)

A Visual-Cortex-Mimetic Tiny Neuromorphic Vision Processor Based on Reconfigurable Cortical Neuron Unit. - Mingju Chen; Junxian He; Haibing Wang; Tengxiao Wang; Haoran Gao; Liyuan Liu; Ying Wang 001; Cong Shi 003 (IEEE Trans. Circuits Syst. II Express Briefs, 2025)

A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook. - Jiankai Sun; Chuanyang Zheng; Enze Xie; Zhengying Liu; Ruihang Chu; Jianing Qiu; Jiaqi Xu; Mingyu Ding; Hongyang Li 001; Mengzhe Geng; Yue Wu 012; Wenhai Wang; et al. (ACM Comput. Surv., 2025)