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Wenlin Yao
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2020 – today
- 2024
- [c29]Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, Dong Yu:
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models. ACL (1) 2024: 6864-6890 - [c28]Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Tongshuang Wu, Jianshu Chen:
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models. ACL (Findings) 2024: 8702-8718 - [c27]Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu:
InFoBench: Evaluating Instruction Following Ability in Large Language Models. ACL (Findings) 2024: 13025-13048 - [c26]Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu:
MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning. LREC/COLING 2024: 11307-11318 - [c25]Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu:
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives. EMNLP 2024: 4293-4308 - [c24]Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu:
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. NAACL-HLT 2024: 1287-1310 - [c23]Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu:
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning. NAACL-HLT 2024: 2341-2369 - [c22]Xuansheng Wu
, Huachi Zhou
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. WWW 2024: 3566-3575 - [i35]Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu:
InFoBench: Evaluating Instruction Following Ability in Large Language Models. CoRR abs/2401.03601 (2024) - [i34]Hongliang He
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models. CoRR abs/2401.13919 (2024) - [i33]Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Tongshuang Wu, Jianshu Chen:
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models. CoRR abs/2402.17124 (2024) - [i32]Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu:
Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. CoRR abs/2403.08946 (2024) - [i31]Zhenwen Liang, Dian Yu, Wenhao Yu, Wenlin Yao, Zhihan Zhang, Xiangliang Zhang, Dong Yu:
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions. CoRR abs/2405.19444 (2024) - [i30]Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu:
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives. CoRR abs/2406.12084 (2024) - [i29]Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu:
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts? CoRR abs/2409.07703 (2024) - [i28]Wenlin Yao, Haitao Mi, Dong Yu:
HDFlow: Enhancing LLM Complex Problem-Solving with Hybrid Thinking and Dynamic Workflows. CoRR abs/2409.17433 (2024) - [i27]Fan Lin, Shuyi Xie, Yong Dai, Wenlin Yao, Tianjiao Lang, Zishan Xu, Zhichao Hu, Xiao Xiao, Yuhong Liu, Yu Zhang:
IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation. CoRR abs/2409.18892 (2024) - [i26]Yebowen Hu, Xiaoyang Wang, Wenlin Yao, Yiming Lu, Daoan Zhang, Hassan Foroosh, Dong Yu, Fei Liu:
DeFine: Enhancing LLM Decision-Making with Factor Profiles and Analogical Reasoning. CoRR abs/2410.01772 (2024) - [i25]Murong Yue, Wenlin Yao, Haitao Mi, Dian Yu, Ziyu Yao, Dong Yu:
DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search. CoRR abs/2410.03864 (2024) - [i24]Daoan Zhang, Guangchen Lan, Dong-Jun Han, Wenlin Yao, Xiaoman Pan, Hongming Zhang, Mingxiao Li, Pengcheng Chen, Dong Yu, Christopher Brinton, Jiebo Luo:
SePPO: Semi-Policy Preference Optimization for Diffusion Alignment. CoRR abs/2410.05255 (2024) - [i23]Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Hongming Zhang, Tianqing Fang, Zhenzhong Lan, Dong Yu:
OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization. CoRR abs/2410.19609 (2024) - 2023
- [c21]Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, Jianshu Chen:
How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method. EACL 2023: 2993-3002 - [c20]James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu:
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. EMNLP 2023: 14584-14595 - [c19]Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen:
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models. ICLR 2023 - [c18]Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Jianshu Chen:
Thrust: Adaptively Propels Large Language Models with External Knowledge. NeurIPS 2023 - [i22]James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu:
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. CoRR abs/2305.14599 (2023) - [i21]Xuansheng Wu, Huachi Zhou, Wenlin Yao, Xiao Huang
Towards Personalized Cold-Start Recommendation with Prompts. CoRR abs/2306.17256 (2023) - [i20]Neeraj Varshney, Wenlin Yao, Hongming Zhang, Jianshu Chen, Dong Yu:
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation. CoRR abs/2307.03987 (2023) - [i19]Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu:
MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning. CoRR abs/2307.07951 (2023) - [i18]Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Jianshu Chen:
Thrust: Adaptively Propels Large Language Models with External Knowledge. CoRR abs/2307.10442 (2023) - [i17]Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu:
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning. CoRR abs/2310.00492 (2023) - [i16]Shuyi Xie, Wenlin Yao, Yong Dai, Shaobo Wang, Donlin Zhou, Lifeng Jin, Xinhua Feng, Pengzhi Wei, Yujie Lin, Zhichao Hu, Dong Yu, Zhengyou Zhang, Jing Nie, Yuhong Liu:
TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs. CoRR abs/2311.05374 (2023) - [i15]Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu:
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. CoRR abs/2311.10774 (2023) - 2022
- [c17]Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen:
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. ACL (2) 2022: 212-218 - [c16]Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen:
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. ACL (2) 2022: 371-377 - [c15]Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi:
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. EMNLP (Findings) 2022: 182-197 - [c14]Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen:
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. EMNLP 2022: 1186-1203 - [c13]Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu:
Salience Allocation as Guidance for Abstractive Summarization. EMNLP 2022: 6094-6106 - [c12]Hongming Zhang, Wenlin Yao, Dong Yu:
Efficient Zero-shot Event Extraction with Context-Definition Alignment. EMNLP (Findings) 2022: 7169-7179 - [c11]Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen:
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. ICDM (Workshops) 2022: 1-6 - [i14]Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen:
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. CoRR abs/2203.08928 (2022) - [i13]Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen:
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. CoRR abs/2203.10249 (2022) - [i12]Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen:
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. CoRR abs/2210.12261 (2022) - [i11]Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu:
Salience Allocation as Guidance for Abstractive Summarization. CoRR abs/2210.12330 (2022) - [i10]Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen:
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models. CoRR abs/2210.16433 (2022) - [i9]Hongming Zhang, Wenlin Yao, Dong Yu:
Efficient Zero-shot Event Extraction with Context-Definition Alignment. CoRR abs/2211.05156 (2022) - [i8]Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi:
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. CoRR abs/2212.01476 (2022) - [i7]Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen:
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. CoRR abs/2212.03091 (2022) - 2021
- [c10]Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu:
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. EMNLP (1) 2021: 7741-7751 - [i6]Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu:
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. CoRR abs/2110.14091 (2021) - 2020
- [j2]Cheng Zhang
Semiautomated social media analytics for sensing societal impacts due to community disruptions during disasters. Comput. Aided Civ. Infrastructure Eng. 35(12): 1331-1348 (2020) - [c9]Wenlin Yao, Cheng Zhang
Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management. AAAI 2020: 532-539 - [c8]Wenlin Yao, Zeyu Dai, Maitreyi Ramaswamy, Bonan Min, Ruihong Huang:
Weakly Supervised Subevent Knowledge Acquisition. EMNLP (1) 2020: 5345-5356 - [c7]Chenxin Jia, Ying Cao, Jian Yang, Yuan Rao, Hao Fan, Wenlin Yao:
Improving Visual- Inertial Odometry with Robust Outlier Rejection and Loop Closure. iCAST 2020: 1-6 - [i5]Wenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang, Ali Mostafavi:
Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management. CoRR abs/2010.01683 (2020)
2010 – 2019
- 2019
- [j1]Cheng Zhang
Social media for intelligent public information and warning in disasters: An interdisciplinary review. Int. J. Inf. Manag. 49: 190-207 (2019) - [c6]Chao Fan, Ali Mostafavi, Wenlin Yao, Ruihong Huang:
A Graph-based Approach for Detecting Critical Infrastructure Disruptions on Social Media in Disasters. HICSS 2019: 1-10 - 2018
- [c5]Wenlin Yao, Ruihong Huang:
Temporal Event Knowledge Acquisition via Identifying Narratives. ACL (1) 2018: 537-547 - [i4]Wenlin Yao, Ruihong Huang:
Temporal Event Knowledge Acquisition via Identifying Narratives. CoRR abs/1805.10956 (2018) - 2017
- [c4]Zeyu Dai, Wenlin Yao, Ruihong Huang:
Using Context Events in Neural Network Models for Event Temporal Status Identification. IJCNLP(2) 2017: 234-239 - [c3]Wenlin Yao, Zeyu Dai, Ruihong Huang, James Caverlee:
Online Deception Detection Refueled by Real World Data Collection. RANLP 2017: 793-802 - [c2]Wenlin Yao, Saipravallika Nettyam, Ruihong Huang:
A Weakly Supervised Approach to Train Temporal Relation Classifiers and Acquire Regular Event Pairs Simultaneously. RANLP 2017: 803-812 - [i3]Wenlin Yao, Zeyu Dai, Ruihong Huang, James Caverlee:
Online Deception Detection Refueled by Real World Data Collection. CoRR abs/1707.09406 (2017) - [i2]Wenlin Yao, Saipravallika Nettyam, Ruihong Huang:
A Weakly Supervised Approach to Train Temporal Relation Classifiers and Acquire Regular Event Pairs Simultaneously. CoRR abs/1707.09410 (2017) - [i1]Zeyu Dai, Wenlin Yao, Ruihong Huang:
Using Context Events in Neural Network Models for Event Temporal Status Identification. CoRR abs/1710.04344 (2017)
2000 – 2009
- 2008
- [c1]Wenlin Yao, Lei Wang, Lingling Gao:
An ungreedy Chinese deterministic dependency parser considering long-distance dependency. NLPKE 2008: 1-5
Coauthor Index
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last updated on 2024-12-08 01:28 CET by the dblp team
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