姜南｜山东大学｜学者主页

2026

Robust Data-Collection Policy Learning for Low-Variance Online Policy Evaluation

Claire Chen, Shuze Daniel Liu, Licheng Luo, Rohan Chandra, Nan Jiang, Shangtong Zhang

arXiv preprint

2026

Benchmarking Security Risk Detection and Verification in Open Agentic Skill Ecosystems

Ismail Hossain, Sai Puppala, Zhuoran Lu, Sajedul Talukder, Nan Jiang

arXiv preprint

2026

PreSTO: Predictive Subtree Prefetching for Fast LLM Power Sampling

Nan Jiang, Panagiotis Theodoropoulos, Wei Deng

arXiv preprint

2026

A Unifying View of Coverage in Linear Off-Policy Evaluation

Philip Amortila, Audrey Huang, Akshay Krishnamurthy, Nan Jiang

arXiv preprint

2026

Beyond State-Wise Mirror Descent: Offline Policy Optimization with Parametric Policies

Xiang Li, Yuheng Zhang, Nan Jiang

arXiv preprint

2026

Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Randomization

Jinzhao Li, Nan Jiang, Yexiang Xue

arXiv preprint

2026

DIVERSED: Relaxed Speculative Decoding via Dynamic Ensemble Verification

Ziyi Wang, Siva Rajesh Kasa, Ankith M S, Santhosh Kumar Kasa, Jiaru Zou, Sumit Negi, Ruqi Zhang, Nan Jiang, Qifan Song

arXiv preprint

2026

Using Grounded Theory for Agent Behavior Analysis at Scale

Zhuoran Lu, Yangyang Yu, Zhuoyan Li, Yibo Meng, Nan Jiang, Chengxi Zang, Jie Gao, Ziang Xiao

arXiv preprint

2026

JoyAI-Sim: A Simulation-Enabled Interconversion Toolchain for the Embodied Data Pyramid

Peidong Liu, Yongce Liu, Songyan Guo, Fuyuan Ma, Zhihao Yuan, Ao Li, Zengjue Chen, Wenhao Li, Tianle Zhang, Mingyang Li, Jiale Zhang, Junzhe Xiong, Zhiyuan Xiang, Dafeng Chi, Yuzheng Zhuang, Liyi Luo, Wei Tan, Dongjiang Li, Nan Jiang, Yihang Li, Qingrong He, Jiaming Liang, Chen Cai, Mingxi Luo, Hui Zhang, Peng Hao, Song Wang, Ning Qiao, Yince Gao, Lei Kang, Junwu Xiong, Ruodai Li, Jiawei Li, Hui Shen, Yicheng Gong, Nan Duan, Liang Lin

arXiv preprint

2026

Aligning Language Models Towards Counterfactual Invariance

Basar Demir, Emily Shen, Ksheeraj Sai Vepuri, Sourabh Kulkarni, Harihar Subramanyam, Ankit Jain, Nan Jiang, Chirag Nagpal

arXiv preprint

2026

No Action Without a NOD: A Heterogeneous Multi-Agent Architecture for Reliable Service Agents

Zixu Yang, Hang Zheng, Nan Jiang, Zhiyang Tang, Situo Zhang, Xiaobao Wu, Lu Chen, Kai Yu

arXiv preprint

2026

SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing

Yicheng Xiao, Wenhu Zhang, Lin Song, Yukang Chen, Wenbo Li, Nan Jiang, Tianhe Ren, Haokun Lin, Wei Huang, Haoyang Huang, Xiu Li, Nan Duan, Xiaojuan Qi

arXiv preprint

2026

OpenSpatial: A Principled Data Engine for Empowering Spatial Intelligence

Jianhui Liu, Haoze Sun, Wenbo Li, Yanbing Zhang, Rui Yang, Zhiliang Zhu, Yijun Yang, Shenghe Zheng, Nan Jiang, Jiaxiu Jiang, Haoyang Huang, Tien-Tsin Wong, Nan Duan, Xiaojuan Qi

arXiv preprint

2026

Thinking with Novel Views: A Systematic Analysis of Generative-Augmented Spatial Intelligence

Yanbing Zhang, Bo Wang, Jianhui Liu, Nan Jiang, Jiaxiu Jiang, Haoze Sun, Yijun Yang, Shenghe Zheng, Lin Song, Haoyang Huang, Nan Duan, Wenbo Li

arXiv preprint

2026

Beyond Pessimism: Offline Learning in KL-regularized Games

Yuheng Zhang, Claire Chen, Nan Jiang

arXiv preprint

2026

CUA-Skill: Develop Skills for Computer Using Agent

Tianyi Chen, Yinheng Li, Michael Solodko, Sen Wang, Nan Jiang, Tingyuan Cui, Junheng Hao, Jongwoo Ko, Sara Abdali, Leon Xu, Suzhen Zheng, Hao Fan, Pashmina Cameron, Justin Wagle, Kazuhito Koishida

arXiv preprint

2026

MaD-RL: Matching Distributions for Calibrating LLMs with Reinforcement Learning

Sourabh Kulkarni, Ksheeraj Sai Vepuri, Basar Demir, Jason Bohrer, Emily Shen, Jianfa Chen, Nan Jiang, Ankit Jain, Harihar Subramanyam, Mannat Singh, Chirag Nagpal

arXiv preprint

2026

Rethinking Importance Sampling in LLM Policy Optimization: A Cumulative Token Perspective

Yuheng Zhang, Chenlu Ye, Shuowei Jin, Changlong Yu, Wei Xiong, Saurabh Sahu, Nan Jiang

arXiv preprint

2026

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation

Lin Song, Wenbo Li, Guoqing Ma, Wei Tang, Bo Wang, Yuan Zhang, Yijun Yang, Yicheng Xiao, Jianhui Liu, Yanbing Zhang, Guohui Zhang, Wenhu Zhang, Hang Xu, Nan Jiang, Xin Han, Haoze Sun, Maoquan Zhang, Haoyang Huang, Nan Duan

arXiv preprint

2026

DecomVoxel: Harnessing 3D-Native Priors with Guided In-situ Denoising Optimization for Decompositional Scene Reconstruction

Junfeng Ni, Zirui Zhou, Yixin Chen, Yu Liu, Nan Jiang, Zhifei Yang, Song-Chun Zhu, Siyuan Huang

arXiv preprint

2026

Explore Broadly, Reason Sharply: Push Small Models toward the Frontier via Sampling

Panagiotis Theodoropoulos, Nan Jiang, Xintong Duan, Ali Hasan, Yuriy Nevmyvaka, Evangelos A. Theodorou, Wei Deng

arXiv preprint

2026

Analyzing and Mitigating Cost-Inefficient Behaviors in Coding Agents

Yiran Hu, Nan Jiang, Shanchao Liang, Anik Dey, Yi Wu, Lin Tan

arXiv preprint

2026

Offline Two-Player Zero-Sum Markov Games with KL Regularization

Claire Chen, Yuheng Zhang, Xinyu Liu, Zixuan Xie, Shuze Daniel Liu, Nan Jiang

arXiv preprint

2026

Beyond Semantic Manipulation: Token-Space Attacks on Reward Models

Yuheng Zhang, Mingyue Huo, Minghao Zhu, Mengxue Zhang, Nan Jiang

arXiv preprint

2026

ARGUS: An Agenda-Driven Framework for Reliable User Simulation

Hang Zheng, Nan Jiang, Zichen Zhu, Zixu Yang, Zhiyang Tang, Shuai Fan, Lu Chen, Xiaobao Wu, Kai Yu

arXiv preprint

2025

Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol

Pai Liu, Lingfeng Zhao, Shivangi Agarwal, Jinghan Liu, Audrey Huang, Philip Amortila, Nan Jiang

arXiv preprint

2025

EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph

Nan Jiang, Ziyi Wang, Yexiang Xue

arXiv preprint

2025

UniAct: Unified Motion Generation and Action Streaming for Humanoid Robots

Nan Jiang, Zimo He, Wanhe Yu, Lexi Pang, Yunhao Li, Hongjie Li, Jieming Cui, Yuhan Li, Yizhou Wang, Yixin Zhu, Siyuan Huang

arXiv preprint

2025

SQS: Bayesian DNN Compression through Sparse Quantized Sub-distributions

Ziyi Wang, Nan Jiang, Guang Lin, Qifan Song

arXiv preprint

2025

TENET: One Step Toward Test-Driven Development for Repository-Level Code Generation

Yiran Hu, Shanchao Liang, Nan Jiang, Yi Wu, Lin Tan

arXiv preprint

2025

Unified Software Engineering Agent as AI Software Engineer

Leonhard Applis, Yuntong Zhang, Shanchao Liang, Nan Jiang, Lin Tan, Abhik Roychoudhury

arXiv preprint

2025

Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct

Haoyang Zheng, Xinyang Liu, Cindy Xiangrui Kong, Nan Jiang, Zheyuan Hu, Weijian Luo, Wei Deng, Guang Lin

arXiv preprint

2025

DART: Distilling Autoregressive Reasoning to Silent Thought

Nan Jiang, Ziming Wu, De-Chuan Zhan, Fuming Lai, Shaobing Lian

arXiv preprint

2025

Dynamic Motion Blending for Versatile Motion Editing

Nan Jiang, Hongjie Li, Ziye Yuan, Zimo He, Yixin Chen, Tengyu Liu, Yixin Zhu, Siyuan Huang

arXiv preprint

2025

Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison

Ruixin Wang, Zhongkai Zhao, Le Fang, Nan Jiang, Yiling Lou, Lin Tan, Tianyi Zhang

arXiv preprint

DOI

2025

Selecting Belief-State Approximations in Simulators with Latent States

Nan Jiang

arXiv preprint

2025

Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives

Wei Xiong, Chenlu Ye, Baohao Liao, Hanze Dong, Xinxing Xu, Christof Monz, Jiang Bian, Nan Jiang, Tong Zhang

arXiv preprint

2025

Self-rewarding correction for mathematical reasoning

Wei Xiong, Hanning Zhang, Chenlu Ye, Lichang Chen, Nan Jiang, Tong Zhang

arXiv preprint

2025

Improving Harmful Text Detection with Joint Retrieval and External Knowledge

Zidong Yu, Shuo Wang, Nan Jiang, Weiqiang Huang, Xu Han, Junliang Du

arXiv preprint

2025

Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs

Yuheng Zhang, Nan Jiang

arXiv preprint

2025

Generative Auto-Bidding with Value-Guided Explorations

Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Peng Jiang, Kun Gai, Bo An, Xiangyu Zhao

arXiv preprint

2025

Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment

Audrey Huang, Adam Block, Qinghua Liu, Nan Jiang, Akshay Krishnamurthy, Dylan J. Foster

arXiv preprint

2025

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL

Jiarui Yao, Yifan Hao, Hanning Zhang, Hanze Dong, Wei Xiong, Nan Jiang, Tong Zhang

arXiv preprint

2025

A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce

Wei Xiong, Jiarui Yao, Yuhui Xu, Bo Pang, Lei Wang, Doyen Sahoo, Junnan Li, Nan Jiang, Tong Zhang, Caiming Xiong, Hanze Dong

arXiv preprint

2025

Offline Reinforcement Learning in Large State Spaces: Algorithms and Guarantees

Nan Jiang, Tengyang Xie

arXiv preprint

2025

Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner

Yewen Li, Jingtong Gao, Nan Jiang, Shuai Mao, Ruyi An, Fei Pan, Xiangyu Zhao, Bo An, Qingpeng Cai, Peng Jiang

arXiv preprint

2025

Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits

Jinzhao Li, Nan Jiang, Yexiang Xue

arXiv preprint

2025

Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction

Junhong Shen, Hao Bai, Lunjun Zhang, Yifei Zhou, Amrith Setlur, Shengbang Tong, Diego Caples, Nan Jiang, Tong Zhang, Ameet Talwalkar, Aviral Kumar

arXiv preprint

2025

On the Tension Between Optimality and Adversarial Robustness in Policy Optimization

Haoran Li, Jiayu Lv, Congying Han, Zicheng Zhang, Anqi Li, Yan Liu, Tiande Guo, Nan Jiang

arXiv preprint

2025

Improving LLM General Preference Alignment via Optimistic Online Mirror Descent

Yuheng Zhang, Dian Yu, Tao Ge, Linfeng Song, Zhichen Zeng, Haitao Mi, Nan Jiang, Dong Yu

arXiv preprint

2025

A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning

Yuzheng Hu, Fan Wu, Haotian Ye, David Forsyth, James Zou, Nan Jiang, Jiaqi W. Ma, Han Zhao

arXiv preprint

2024

A Note on Loss Functions and Error Compounding in Model-based Reinforcement Learning

Nan Jiang

arXiv preprint

2024

Reinforcement Learning under Latent Dynamics: Toward Statistical and Algorithmic Modularity

Philip Amortila, Dylan J. Foster, Nan Jiang, Akshay Krishnamurthy, Zakaria Mhammedi

arXiv preprint

2024

A Tighter Convergence Proof of Reverse Experience Replay

Nan Jiang, Jinzhao Li, Yexiang Xue

arXiv preprint

2024

Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching

Nan Jiang, Md Nasim, Yexiang Xue

arXiv preprint

2024

WAFFLE: Finetuning Multi-Modal Models for Automated Front-End Development

Shanchao Liang, Nan Jiang, Shangshu Qian, Lin Tan

arXiv preprint

2024

SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models

Yi Wu, Zikang Xiong, Yiran Hu, Shreyash S. Iyengar, Nan Jiang, Aniket Bera, Lin Tan, Suresh Jagannathan

arXiv preprint

2024

Autonomous Character-Scene Interaction Synthesis from Text Instruction

Nan Jiang, Zimo He, Zi Wang, Hongjie Li, Yixin Chen, Siyuan Huang, Yixin Zhu

arXiv preprint

2024

Scaling Up Dynamic Human-Scene Interaction Modeling

Nan Jiang, Zhiyuan Zhang, Hongjie Li, Xiaoxuan Ma, Zan Wang, Yixin Chen, Tengyu Liu, Yixin Zhu, Siyuan Huang

arXiv preprint

2024

A Deep Dive into Large Language Models for Automated Bug Localization and Repair

Soneya Binta Hossain, Nan Jiang, Qiang Zhou, Xiaopeng Li, Wen-Hao Chiang, Yingjun Lyu, Hoan Nguyen, Omer Tripp

arXiv preprint

2024

LeDex: Training LLMs to Better Self-Debug and Explain Code

Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras

arXiv preprint

2024

LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement

Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, Lin Tan

arXiv preprint

2024

Robust Semi-supervised Learning by Wisely Leveraging Open-set Data

Yang Yang, Nan Jiang, Yi Xu, De-Chuan Zhan

arXiv preprint

2024

Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code

Nan Jiang, Qi Li, Lin Tan, Tianyi Zhang

arXiv preprint

2024

Harnessing Density Ratios for Online Reinforcement Learning

Philip Amortila, Dylan J. Foster, Nan Jiang, Ayush Sekhari, Tengyang Xie

arXiv preprint

2024

On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation

Yuheng Zhang, Nan Jiang

arXiv preprint

2024

Can Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet'

Shanchao Liang, Yiran Hu, Nan Jiang, Lin Tan

arXiv preprint

2024

MLLM-as-a-Judge for Image Safety without Human Labeling

Zhenting Wang, Shuming Hu, Shiyu Zhao, Xiaowen Lin, Felix Juefei-Xu, Zhuowei Li, Ligong Han, Harihar Subramanyam, Li Chen, Jianfa Chen, Nan Jiang, Lingjuan Lyu, Shiqing Ma, Dimitris N. Metaxas, Ankit Jain

arXiv preprint

2024

Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning

Yuheng Zhang, Dian Yu, Baolin Peng, Linfeng Song, Ye Tian, Mingyue Huo, Nan Jiang, Haitao Mi, Dong Yu

arXiv preprint

2024

GameArena: Evaluating LLM Reasoning through Live Computer Games

Lanxiang Hu, Qiyu Li, Anze Xie, Nan Jiang, Ion Stoica, Haojian Jin, Hao Zhang

arXiv preprint

2024

PhyRecon: Physically Plausible Neural Scene Reconstruction

Junfeng Ni, Yixin Chen, Bohan Jing, Nan Jiang, Bin Wang, Bo Dai, Puhao Li, Yixin Zhu, Song-Chun Zhu, Siyuan Huang

arXiv preprint

2024

RouterBench: A Benchmark for Multi-LLM Routing System

Qitian Jason Hu, Jacob Bieker, Xiuyu Li, Nan Jiang, Benjamin Keigwin, Gaurav Ranganath, Kurt Keutzer, Shriyash Kaustubh Upadhyay

arXiv preprint

2024

Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Chenlu Ye, Wei Xiong, Yuheng Zhang, Hanze Dong, Nan Jiang, Tong Zhang

arXiv preprint

2024

GAS: Generative Auto-bidding with Post-training Search

Yewen Li, Shuai Mao, Jingtong Gao, Nan Jiang, Yunjian Xu, Qingpeng Cai, Fei Pan, Peng Jiang, Bo An

arXiv preprint

2024

Commit0: Library Generation from Scratch

Wenting Zhao, Nan Jiang, Celine Lee, Justin T Chiu, Claire Cardie, Matthias Gallé, Alexander M Rush

arXiv preprint

2024

RLHF Workflow: From Reward Modeling to Online RLHF

Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang

arXiv preprint

2024

F-HOI: Toward Fine-grained Semantic-Aligned 3D Human-Object Interactions

Jie Yang, Xuesong Niu, Nan Jiang, Ruimao Zhang, Siyuan Huang

arXiv preprint

2024

Class-RAG: Real-Time Content Moderation with Retrieval Augmented Generation

Jianfa Chen, Emily Shen, Trupti Bavalatti, Xiaowen Lin, Yongkai Wang, Shuming Hu, Harihar Subramanyam, Ksheeraj Sai Vepuri, Ming Jiang, Ji Qi, Li Chen, Nan Jiang, Ankit Jain

arXiv preprint

2023

Symbolic Regression via Control Variable Genetic Programming

Nan Jiang, Yexiang Xue

arXiv preprint

2023

Vertical Symbolic Regression

Nan Jiang, Md Nasim, Yexiang Xue

arXiv preprint

2023

Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning

Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang, Petr Babkin

arXiv preprint

2023

Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary

Xiangzhe Xu, Zhuo Zhang, Zian Su, Ziyang Huang, Shiwei Feng, Yapeng Ye, Nan Jiang, Danning Xie, Siyuan Cheng, Lin Tan, Xiangyu Zhang

arXiv preprint

2023

Impact of Code Language Models on Automated Program Repair

Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan

arXiv preprint

2023

How Effective Are Neural Networks for Fixing Security Vulnerabilities

Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah

arXiv preprint

DOI

2023

Marginalized Importance Sampling for Off-Environment Policy Evaluation

Pulkit Katdare, Nan Jiang, Katherine Driggs-Campbell

arXiv preprint

2023

How Effective are Large Language Models in Generating Software Specifications?

Danning Xie, Byungwoo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee

arXiv preprint

2023

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair

Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang

arXiv preprint

2023

Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint

Wei Xiong, Hanze Dong, Chenlu Ye, Ziqi Wang, Han Zhong, Heng Ji, Nan Jiang, Tong Zhang

arXiv preprint

2023

Single-view 3D Scene Reconstruction with High-fidelity Shape and Texture

Yixin Chen, Junfeng Ni, Nan Jiang, Yaowei Zhang, Yixin Zhu, Siyuan Huang

arXiv preprint

2023

Word Embeddings Are Steers for Language Models

Chi Han, Jialiang Xu, Manling Li, Yi Fung, Chenkai Sun, Nan Jiang, Tarek Abdelzaher, Heng Ji

arXiv preprint

2023

Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability

Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick

arXiv preprint

2023

Mitigating the Alignment Tax of RLHF

Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang

arXiv preprint

2023

Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable Guarantees

Jinzhao Li, Nan Jiang, Yexiang Xue

arXiv preprint

2022

On the Value of Behavioral Representations for Dense Retrieval

Nan Jiang, Dhivya Eswaran, Choon Hui Teo, Yexiang Xue, Yesh Dattatreya, Sujay Sanghavi, Vishy Vishwanathan

arXiv preprint

2022

Full-Body Articulated Human-Object Interaction

Nan Jiang, Tengyu Liu, Zhexuan Cao, Jieming Cui, Zhiyuan zhang, Yixin Chen, He Wang, Yixin Zhu, Siyuan Huang

arXiv preprint

2021

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair

Nan Jiang, Thibaud Lutellier, Lin Tan

arXiv preprint

DOI

2021

A Fast Randomized Algorithm for Massive Text Normalization

Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue

arXiv preprint

2021

A Spectral Approach to Off-Policy Evaluation for POMDPs

Yash Nair, Nan Jiang

arXiv preprint

2020

Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach

Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue

arXiv preprint

2020

A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation

Xiuyu Wu, Nan Jiang, Yunfang Wu

arXiv preprint

2018

Why Do Neural Response Generation Models Prefer Universal Replies?

Bowen Wu, Nan Jiang, Zhifeng Gao, Mengyuan Li, Zongsheng Wang, Suke Li, Qihang Feng, Wenge Rong, Baoxun Wang

arXiv preprint

2016

Hand Segmentation for Hand-Object Interaction from Depth map

Byeongkeun Kang, Kar-Han Tan, Nan Jiang, Hung-Shuo Tai, Daniel Tretter, Truong Q. Nguyen

arXiv preprint

2015

Word Embedding based Correlation Model for Question/Answer Matching

Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong

arXiv preprint

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自主研发、政府资助政策与产业创新方向——专利密集型产业异质性分析

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预印本

Robust Data-Collection Policy Learning for Low-Variance Online Policy Evaluation

Benchmarking Security Risk Detection and Verification in Open Agentic Skill Ecosystems

PreSTO: Predictive Subtree Prefetching for Fast LLM Power Sampling

A Unifying View of Coverage in Linear Off-Policy Evaluation

Beyond State-Wise Mirror Descent: Offline Policy Optimization with Parametric Policies

Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Randomization

DIVERSED: Relaxed Speculative Decoding via Dynamic Ensemble Verification

Using Grounded Theory for Agent Behavior Analysis at Scale

JoyAI-Sim: A Simulation-Enabled Interconversion Toolchain for the Embodied Data Pyramid

Aligning Language Models Towards Counterfactual Invariance

No Action Without a NOD: A Heterogeneous Multi-Agent Architecture for Reliable Service Agents

SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing

OpenSpatial: A Principled Data Engine for Empowering Spatial Intelligence

Thinking with Novel Views: A Systematic Analysis of Generative-Augmented Spatial Intelligence

Beyond Pessimism: Offline Learning in KL-regularized Games

CUA-Skill: Develop Skills for Computer Using Agent

MaD-RL: Matching Distributions for Calibrating LLMs with Reinforcement Learning

Rethinking Importance Sampling in LLM Policy Optimization: A Cumulative Token Perspective

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation

DecomVoxel: Harnessing 3D-Native Priors with Guided In-situ Denoising Optimization for Decompositional Scene Reconstruction

Explore Broadly, Reason Sharply: Push Small Models toward the Frontier via Sampling

Analyzing and Mitigating Cost-Inefficient Behaviors in Coding Agents

Offline Two-Player Zero-Sum Markov Games with KL Regularization

Beyond Semantic Manipulation: Token-Space Attacks on Reward Models

ARGUS: An Agenda-Driven Framework for Reliable User Simulation

Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol

EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph

UniAct: Unified Motion Generation and Action Streaming for Humanoid Robots

SQS: Bayesian DNN Compression through Sparse Quantized Sub-distributions

TENET: One Step Toward Test-Driven Development for Repository-Level Code Generation

Unified Software Engineering Agent as AI Software Engineer

Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct

DART: Distilling Autoregressive Reasoning to Silent Thought

Dynamic Motion Blending for Versatile Motion Editing

Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison

Selecting Belief-State Approximations in Simulators with Latent States

Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives

Self-rewarding correction for mathematical reasoning

Improving Harmful Text Detection with Joint Retrieval and External Knowledge

Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs

Generative Auto-Bidding with Value-Guided Explorations

Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL

A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce

Offline Reinforcement Learning in Large State Spaces: Algorithms and Guarantees

Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner

Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits

Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction

On the Tension Between Optimality and Adversarial Robustness in Policy Optimization

Improving LLM General Preference Alignment via Optimistic Online Mirror Descent

A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning

A Note on Loss Functions and Error Compounding in Model-based Reinforcement Learning

Reinforcement Learning under Latent Dynamics: Toward Statistical and Algorithmic Modularity

A Tighter Convergence Proof of Reverse Experience Replay

Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching

WAFFLE: Finetuning Multi-Modal Models for Automated Front-End Development

SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models

Autonomous Character-Scene Interaction Synthesis from Text Instruction