Tianxing He - RankMe

86 papers A* 9A 3B 1Misc 4Journal 48Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Visualized Framework for Event Cooperation with Generative Agents. AAAI Yuyang Tian, Shunqiang Mao, Wenchang Gao, Lanlan Qiu, Tianxing He
2026	A*	`conf`	Pay for The Second-Best Service: A Game-Theoretic Approach against Dishonest LLM Providers. WWW Yuhan Cao, Yu Wang, Sitong Liu, Miao Li, Yixin Tao, Tianxing He
2026	J	`jnl`	Reverse-Engineering Model Editing on Language Models. CoRR Zhiyu Sun, Minrui Luo, Yu Wang, Zhili Chen, Tianxing He
2026	J	`jnl`	VirtualCrime: Evaluating Criminal Potential of Large Language Models via Sandbox Simulation. CoRR Yilin Tang, Yu Wang, Lanlan Qiu, Wenchang Gao, Yunfei Ma, Baicheng Chen, Tianxing He
2025	J	`jnl`	A Visualized Framework for Event Cooperation with Generative Agents. CoRR Yuyang Tian, Shunqiang Mao, Wenchang Gao, Lanlan Qiu, Tianxing He
2025	J	`jnl`	AICrypto: A Comprehensive Benchmark For Evaluating Cryptography Capabilities of Large Language Models. CoRR Yu Wang, Yijian Liu, Liheng Ji, Han Luo, Wenjie Li, Xiaofei Zhou, Chiyun Feng, Puji Wang, Yuhan Cao, Geyuan Zhang, Xiaojian Li, Rongwu Xu, Yilei Chen, Tianxing He
2025	J	`jnl`	Can A Society of Generative Agents Simulate Human Behavior and Inform Public Health Policy? A Case Study on Vaccine Hesitancy. CoRR Abe Bohan Hou, Hongru Du, Yichen Wang, Jingyu Zhang, Zixiao Wang, Paul Pu Liang, Daniel Khashabi, Lauren Gardner, Tianxing He
2025	J	`jnl`	Can LLMs Generate Reliable Test Case Generators? A Study on Competition-Level Programming Problems. CoRR Yuhan Cao, Zian Chen, Kun Quan, Ziliang Zhang, Yu Wang, Xiaoning Dong, Yeqi Feng, Guanzhong He, Jingcheng Huang, Jianhao Li, Yixuan Tan, Jiafu Tang, Yilin Tang, Junlei Wu, Qianyu Xiao, Can Zheng, Shouchen Zhou, Yuxiang Zhu, Yiming Huang, Tian Xie, Tianxing He
2025	J	`jnl`	Demonstrations of Integrity Attacks in Multi-Agent Systems. CoRR Can Zheng, Yuhan Cao, Xiaoning Dong, Tianxing He
2025	J	`jnl`	Enabling Ultra-Fast Cardiovascular Imaging Across Heterogeneous Clinical Environments with a Generalist Foundation Model and Multimodal Database. CoRR Zi Wang, Mingkai Huang, Zhang Shi, Hongjie Hu, Lan Lan, Hui Zhang, Yan Li, Xi Hu, Qing Lu, Zongming Zhu, Qiong Yao, Yuxiang Dai, Fanwen Wang, Yinzhe Wu, Jun Lyu, Qianqian Gao, Guangming Xu, Zhenxuan Zhang, Haosen Zhang, Qing Li, Guangming Wang, Tianxing He, Lizhen Lan, Siyue Li, Le Xue, Mengting Sun, Yuntong Lyu, Junpu Hu, Jiayu Zhu, Rizwan Ahmad, Zhengyu Bu, Xianling Qian, Guanke Cai, Ruiyu Cao, Weirui Cai, Chang Xu, Yuyang Ren, Feidan Yu, Siying Ma, Ziqiang Xu, Xinran Chen, Sha Hua, Daniel Kim, Yajing Zhang, Chen Ouyang, Wenjia Bai, Jing Qin, Yucheng Yang, Daniel Rueckert, He Wang, Qian Tao, Claudia Prieto, Michael Markl, Alistair A. Young, Lianming Wu, Shuo Wang, Chen Qin, Mengsu Zeng, Xihong Hu, Haibo Xu, Xiaobo Qu, Hao Li, Guang Yang, Chengyan Wang
2025	—	`conf`	Jailbreak Large Vision-Language Models Through Multi-Modal Linkage. ACL (1) Yu Wang, Xiaofei Zhou, Yichen Wang, Geyuan Zhang, Tianxing He
2025	J	`jnl`	LLMs vs. Chinese Anime Enthusiasts: A Comparative Study on Emotionally Supportive Role-Playing. CoRR Lanlan Qiu, Xiao Pu, Yeqi Feng, Tianxing He
2025	J	`jnl`	Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers. Trans. Assoc. Comput. Linguistics Kabir Ahuja, Vidhisha Balachandran, Madhur Panwar, Tianxing He, Noah A. Smith, Navin Goyal, Yulia Tsvetkov
2025	J	`jnl`	Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers. CoRR Yuhan Cao, Yu Wang, Sitong Liu, Miao Li, Yixin Tao, Tianxing He
2025	—	`conf`	SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage. ACL (Findings) Xiaoning Dong, Wenbo Hu, Wei Xu, Tianxing He
2025	J	`jnl`	SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA. CoRR Minrui Luo, Fuhang Kuang, Yu Wang, Zirui Liu, Tianxing He
2025	J	`jnl`	SimCity: Multi-Agent Urban Development Simulation with Rich Interactions. CoRR Yeqi Feng, Yucheng Lu, Hongyu Su, Tianxing He
2025	A*	`conf`	Towards Black-Box Membership Inference Attack for Diffusion Models. ICML Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang
2024	—	`conf`	Can LLM Graph Reasoning Generalize beyond Pattern Memorization? EMNLP (Findings) Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov
2024	J	`jnl`	Can LLM Graph Reasoning Generalize beyond Pattern Memorization? CoRR Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov
2024	J	`jnl`	Jailbreak Large Vision-Language Models Through Multi-Modal Linkage. CoRR Yu Wang, Xiaofei Zhou, Yichen Wang, Geyuan Zhang, Tianxing He
2024	A*	`conf`	KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. WWW Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov
2024	A*	`conf`	Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. ICLR Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2024	—	`conf`	Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. ACL (Findings) Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2024	—	`conf`	LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud. NAACL-HLT (Findings) Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Niloofar Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov
2024	J	`jnl`	Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically. CoRR Kabir Ahuja, Vidhisha Balachandran, Madhur Panwar, Tianxing He, Noah A. Smith, Navin Goyal, Yulia Tsvetkov
2024	J	`jnl`	SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage. CoRR Xiaoning Dong, Wenbo Hu, Wei Xu, Tianxing He
2024	—	`conf`	SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. NAACL-HLT Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov
2024	—	`conf`	Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. ACL (1) Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, Yulia Tsvetkov, Tianxing He
2024	J	`jnl`	Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. CoRR Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, Yulia Tsvetkov, Tianxing He
2024	—	`conf`	Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles. EMNLP (Findings) Xiao Pu, Tianxing He, Xiaojun Wan
2024	J	`jnl`	Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles. CoRR Xiao Pu, Tianxing He, Xiaojun Wan
2024	J	`jnl`	Towards Black-Box Membership Inference Attack for Diffusion Models. CoRR Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang
2024	—	`conf`	k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text. ACL (Findings) Abe Bohan Hou, Jingyu Zhang, Yichen Wang, Daniel Khashabi, Tianxing He
2024	J	`jnl`	k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text. CoRR Abe Bohan Hou, Jingyu Zhang, Yichen Wang, Daniel Khashabi, Tianxing He
2023	A*	`conf`	Can Language Models Solve Graph Problems in Natural Language? NeurIPS Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov
2023	J	`jnl`	Can Language Models Solve Graph Problems in Natural Language? CoRR Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov
2023	J	`jnl`	CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. CoRR Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2023	J	`jnl`	KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. CoRR Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov
2023	J	`jnl`	Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. CoRR Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2023	J	`jnl`	LatticeGen: A Cooperative Framework which Hides Generated Text in a Lattice for Privacy-Aware Generation on Cloud. CoRR Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Fatemehsadat Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov
2023	A*	`conf`	Learning Time-Invariant Representations for Individual Neurons from Population Dynamics. NeurIPS Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül
2023	J	`jnl`	Learning Time-Invariant Representations for Individual Neurons from Population Dynamics. CoRR Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül
2023	—	`conf`	On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. ACL (1) Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov
2023	—	`conf`	On the Zero-Shot Generalization of Machine-Generated Text Detectors. EMNLP (Findings) Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, Tianxing He
2023	J	`jnl`	On the Zero-Shot Generalization of Machine-Generated Text Detectors. CoRR Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, Tianxing He
2023	—	`conf`	PCFG-Based Natural Language Interface Improves Generalization for Controlled Text Generation. *SEM@ACL Jingyu Zhang, James R. Glass, Tianxing He
2023	J	`jnl`	Resolving Knowledge Conflicts in Large Language Models. CoRR Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2023	J	`jnl`	SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. CoRR Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov
2022	J	`jnl`	A comprehensive empirical study on bug characteristics of deep learning frameworks. Inf. Softw. Technol. Yilin Yang, Tianxing He, Zhilong Xia, Yang Feng
2022	—	`conf`	Controlling the Focus of Pretrained Language Generation Models. ACL (Findings) Jiabao Ji, Yoon Kim, James R. Glass, Tianxing He
2022	J	`jnl`	Controlling the Focus of Pretrained Language Generation Models. CoRR Jiabao Ji, Yoon Kim, James R. Glass, Tianxing He
2022	J	`jnl`	Mining Python fix patterns via analyzing fine-grained source code changes. Empir. Softw. Eng. Yilin Yang, Tianxing He, Yang Feng, Shaoying Liu, Baowen Xu
2022	J	`jnl`	On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. CoRR Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov
2022	J	`jnl`	PCFG-based Natural Language Interface Improves Generalization for Controlled Text Generation. CoRR Jingyu Zhang, James R. Glass, Tianxing He
2022	J	`jnl`	Quantifying the Relationship between 2D/3D Building Patterns and Land Surface Temperature: Study on the Metropolitan Shanghai. Remote. Sens. Rui Zhou, Hongchao Xu, Hao Zhang, Jie Zhang, Miao Liu, Tianxing He, Jun Gao, Chunlin Li
2022	—	`—`	Towards a Deeper Understanding of Neural Language Generation Tianxing He
2021	J	`jnl`	An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models. CoRR Tianxing He, Kyunghyun Cho, James R. Glass
2021	A	`conf`	Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models. EACL Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James R. Glass, Fuchun Peng
2021	—	`conf`	Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation? EMNLP (1) Tianxing He, Jingzhao Zhang, Zhiming Zhou, James R. Glass
2021	A	`conf`	Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. EACL Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl
2021	J	`jnl`	Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. CoRR Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl
2021	J	`jnl`	Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework. CoRR Lu Mi, Tianxing He, Core Francisco Park, Hao Wang, Yue Wang, Nir Shavit
2020	—	`conf`	A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation. AACL/IJCNLP Moin Nadeem, Tianxing He, Kyunghyun Cho, James R. Glass
2020	J	`jnl`	A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation. CoRR Moin Nadeem, Tianxing He, Kyunghyun Cho, James R. Glass
2020	Misc	`conf`	An Empirical Study of Transformer-Based Neural Language Model Adaptation. ICASSP Ke Li, Zhe Liu, Tianxing He, Hongzhao Huang, Fuchun Peng, Daniel Povey, Sanjeev Khudanpur
2020	J	`jnl`	Constructing a Knowledge Graph from Unstructured Documents without External Alignment. CoRR Seunghak Yu, Tianxing He, James R. Glass
2020	A*	`conf`	Negative Training for Neural Dialogue Response Generation. ACL Tianxing He, James R. Glass
2020	A*	`conf`	Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity. ICLR Jingzhao Zhang, Tianxing He, Suvrit Sra, Ali Jadbabaie
2019	J	`jnl`	Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition. CoRR Jingzhao Zhang, Tianxing He, Suvrit Sra, Ali Jadbabaie
2019	—	`conf`	Detecting Egregious Responses in Neural Sequence-to-sequence Models. ICLR (Poster) Tianxing He, James R. Glass
2019	—	`conf`	From Data Quality to Model Quality: An Exploratory Study on Deep Learning. Internetware Tianxing He, Shengcheng Yu, Ziyuan Wang, Jieqiong Li, Zhenyu Chen
2019	J	`jnl`	From Data Quality to Model Quality: an Exploratory Study on Deep Learning. CoRR Tianxing He, Shengcheng Yu, Ziyuan Wang, Jieqiong Li, Zhenyu Chen
2019	J	`jnl`	Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models. CoRR Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James R. Glass, Fuchun Peng
2019	J	`jnl`	Negative Training for Neural Dialogue Response Generation. CoRR Tianxing He, James R. Glass
2019	J	`jnl`	Quantifying Exposure Bias for Neural Language Generation. CoRR Tianxing He, Jingzhao Zhang, Zhiming Zhou, James R. Glass
2018	J	`jnl`	Detecting egregious responses in neural sequence-to-sequence models. CoRR Tianxing He, James R. Glass
2017	—	`conf`	Multi-view LSTM Language Model with Word-Synchronized Auxiliary Feature for LVCSR. CCL Yue Wu, Tianxing He, Zhehuai Chen, Yanmin Qian, Kai Yu
2016	Misc	`conf`	Exploiting LSTM structure in deep neural networks for speech recognition. ICASSP Tianxing He, Jasha Droppo
2016	J	`jnl`	On Training Bi-directional Neural Network Language Model with Noise Contrastive Estimation. CoRR Tianxing He, Yu Zhang, Jasha Droppo, Kai Yu
2016	—	`conf`	On training bi-directional neural network language model with noise contrastive estimation. ISCSLP Tianxing He, Yu Zhang, Jasha Droppo, Kai Yu
2015	—	`conf`	An investigation on DNN-derived bottleneck features for GMM-HMM based robust speech recognition. ChinaSIP Yongbin You, Yanmin Qian, Tianxing He, Kai Yu
2015	B	`conf`	Automatic model redundancy reduction for fast back-propagation for deep neural networks in speech recognition. IJCNN Yanmin Qian, Tianxing He, Wei Deng, Kai Yu
2015	A	`conf`	Paragraph vector based topic model for language model adaptation. INTERSPEECH Wengong Jin, Tianxing He, Yanmin Qian, Kai Yu
2015	Misc	`conf`	Recurrent neural network language model with structured word embeddings for speech recognition. ICASSP Tianxing He, Xu Xiang, Yanmin Qian, Kai Yu
2014	Misc	`conf`	Reshaping deep neural network for fast decoding by node-pruning. ICASSP Tianxing He, Yuchen Fan, Yanmin Qian, Tian Tan, Kai Yu