Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction. - Zhiheng Lyu; Kaijie Shi 001; Xin Li; Lei Hou 001; Juanzi Li; Binheng Song (PAKDD (3), 2021)

TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation. - Hongyin Zhu; Hao Peng 015; Zhiheng Lyu; Lei Hou 001; Juanzi Li; Jinghui Xiao (CoRR, 2021)

Scale-balanced loss for object detection. - Kai Shuang; Zhiheng Lyu; Jonathan Loo; Wentao Zhang (Pattern Recognit., 2021)

Logical Fallacy Detection. - Zhijing Jin 001; Abhinav Lalwani; Tejas Vaidhya; Xiaoyu Shen; Yiwen Ding; Zhiheng Lyu; Mrinmaya Sachan; Rada Mihalcea; Bernhard Schölkopf (EMNLP (Findings), 2022)

CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. - Zhijing Jin 001; Yuen Chen; Felix Leeb; Luigi Gresele; Ojasv Kamal; Zhiheng Lyu; Kevin Blin; Fernando Gonzalez Adauto; Max Kleiman-Weiner; Mrinmaya Sachan; Bernhard Schölkopf (NeurIPS, 2023)

Psychologically-Inspired Causal Prompts. - Zhiheng Lyu; Zhijing Jin 001; Justus Mattern; Rada Mihalcea; Mrinmaya Sachan; Bernhard Schölkopf (CoRR, 2023)

Voices of Her: Analyzing Gender Differences in the AI Publication World. - Yiwen Ding; Jiarui Liu 004; Zhiheng Lyu; Kun Zhang 001; Bernhard Schölkopf; Zhijing Jin 001; Rada Mihalcea (CoRR, 2023)

Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation. - Hongyin Zhu; Hao Peng 015; Zhiheng Lyu; Lei Hou 001; Juanzi Li; Jinghui Xiao (Expert Syst. Appl., 2023)

VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation. - Xuan He; Dongfu Jiang; Ge Zhang 009; Max Ku; Achint Soni; Sherman Siu; Haonan Chen; Abhranil Chandra; Ziyan Jiang; Aaran Arulraj; Kai Wang 068; Quy Duc Do; et al. (EMNLP, 2024)

Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis. - Zhiheng Lyu; Zhijing Jin 001; Fernando Gonzalez Adauto; Rada Mihalcea; Bernhard Schölkopf; Mrinmaya Sachan (EMNLP (Findings), 2024)

Can Large Language Models Infer Causation from Correlation? - Zhijing Jin 001; Jiarui Liu 004; Zhiheng Lyu; Spencer Poff; Mrinmaya Sachan; Rada Mihalcea; Mona T. Diab; Bernhard Schölkopf (ICLR, 2024)

Performance Optimization in the LLM World 2024. - Kingsum Chow; Yu Tang; Zhiheng Lyu; Anil Rajput; Khun Ban (ICPE (Companion), 2024)

On the Causal Nature of Sentiment Analysis. - Zhiheng Lyu; Zhijing Jin 001; Fernando Gonzalez; Rada Mihalcea; Bernhard Schölkopf; Mrinmaya Sachan (CoRR, 2024)

FACTTRACK: Time-Aware World State Tracking in Story Outlines. - Zhiheng Lyu; Kevin Yang; Lingpeng Kong; Daniel Klein 001 (CoRR, 2024)

FactTrack: Time-Aware World State Tracking in Story Outlines. - Zhiheng Lyu; Kevin Yang; Lingpeng Kong; Dan Klein (NAACL (Long Papers), 2025)

AIPerfLLM: 3rd International Workshop on Performance Optimization in the LLM world. - Kingsum Chow; Emilio Incerto; Marin Litoiu; Zhihao Chang; Anil Rajput; Khun Ban; Daniele Masti; Zhiheng Lyu (ICPE (Companion), 2025)

PixelWorld: Towards Perceiving Everything as Pixels. - Zhiheng Lyu; Xueguang Ma; Wenhu Chen (CoRR, 2025)

ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations. - Yubo Wang; Xueguang Ma; Ping Nie; Huaye Zeng; Zhiheng Lyu; Yuxuan Zhang; Benjamin Schneider; Yi Lu; Xiang Yue; Wenhu Chen (CoRR, 2025)

StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs. - Jialin Yang; Dongfu Jiang; Lipeng He; Sherman Siu; Yuxuan Zhang; Disen Liao; Zhuofeng Li; Huaye Zeng; Yiming Jia; Haozhe Wang 002; Benjamin Schneider; Chi Ruan; et al. (CoRR, 2025)

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy. - Utkarsh Pratiush; Austin Houston; Kamyar Barakati; Aditya Raghavan; Dasol Yoon; Harikrishnan KP; Zhaslan Baraissov; Desheng Ma; Samuel S. Welborn; Mikolaj Jakowski; Shawn-Patrick Barhorst; Alexander J. Pattison; et al. (CoRR, 2025)