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2020 – today
- 2024
[c5]Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf:
Can Large Language Models Infer Causation from Correlation? ICLR 2024- [c4]Kingsum Chow
, Yu Tang, Zhiheng Lyu, Anil Rajput, Khun Ban:
Performance Optimization in the LLM World 2024. ICPE (Companion) 2024: 156-157 - [i9]Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez, Rada Mihalcea, Bernhard Schölkopf, Mrinmaya Sachan:
On the Causal Nature of Sentiment Analysis. CoRR abs/2404.11055 (2024) - [i8]Xuan He, Dongfu Jiang, Ge Zhang, Max Ku, Achint Soni, Sherman Siu, Haonan Chen, Abhranil Chandra, Ziyan Jiang, Aaran Arulraj, Kai Wang, Quy Duc Do, Yuansheng Ni, Bohan Lyu, Yaswanth Narsupalli, Rongqi Fan, Zhiheng Lyu, Yuchen Lin, Wenhu Chen:
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation. CoRR abs/2406.15252 (2024) - [i7]Zhiheng Lyu, Kevin Yang, Lingpeng Kong, Daniel Klein:
FACTTRACK: Time-Aware World State Tracking in Story Outlines. CoRR abs/2407.16347 (2024) - 2023
- [j2]Hongyin Zhu, Hao Peng, Zhiheng Lyu, Lei Hou, Juanzi Li, Jinghui Xiao:
Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation. Expert Syst. Appl. 215: 119369 (2023) - [c3]Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf:
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. NeurIPS 2023 - [i6]Zhiheng Lyu, Zhijing Jin, Justus Mattern, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf:
Psychologically-Inspired Causal Prompts. CoRR abs/2305.01764 (2023) - [i5]Yiwen Ding, Jiarui Liu, Zhiheng Lyu, Kun Zhang, Bernhard Schölkopf, Zhijing Jin, Rada Mihalcea:
Voices of Her: Analyzing Gender Differences in the AI Publication World. CoRR abs/2305.14597 (2023) - [i4]Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf:
Can Large Language Models Infer Causation from Correlation? CoRR abs/2306.05836 (2023) - [i3]Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf:
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. CoRR abs/2312.04350 (2023) - 2022
- [c2]Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf:
Logical Fallacy Detection. EMNLP (Findings) 2022: 7180-7198 - [i2]Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf:
Logical Fallacy Detection. CoRR abs/2202.13758 (2022) - 2021
- [j1]Kai Shuang, Zhiheng Lyu, Jonathan Loo, Wentao Zhang:
Scale-balanced loss for object detection. Pattern Recognit. 117: 107997 (2021) - [c1]Zhiheng Lyu, Kaijie Shi, Xin Li, Lei Hou, Juanzi Li, Binheng Song:
Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction. PAKDD (3) 2021: 155-167 - [i1]Hongyin Zhu, Hao Peng, Zhiheng Lyu, Lei Hou, Juanzi Li, Jinghui Xiao:
TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation. CoRR abs/2109.01048 (2021)
Coauthor Index
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