Wenlin Yao

Orcid: 0000-0002-4502-0350

According to our database1, Wenlin Yao authored at least 43 papers between 2008 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization.
CoRR, 2024

SePPO: Semi-Policy Preference Optimization for Diffusion Alignment.
CoRR, 2024

DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search.
CoRR, 2024

DeFine: Enhancing LLM Decision-Making with Factor Profiles and Analogical Reasoning.
CoRR, 2024

IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation.
CoRR, 2024

HDFlow: Enhancing LLM Complex Problem-Solving with Hybrid Thinking and Dynamic Workflows.
CoRR, 2024

DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?
CoRR, 2024

MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions.
CoRR, 2024

Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era.
CoRR, 2024

Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

InFoBench: Evaluating Instruction Following Ability in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs.
CoRR, 2023

A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation.
CoRR, 2023

Towards Personalized Cold-Start Recommendation with Prompts.
CoRR, 2023

Thrust: Adaptively Propels Large Language Models with External Knowledge.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Efficient Zero-shot Event Extraction with Context-Definition Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Salience Allocation as Guidance for Abstractive Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Semiautomated social media analytics for sensing societal impacts due to community disruptions during disasters.
Comput. Aided Civ. Infrastructure Eng., 2020

Improving Visual- Inertial Odometry with Robust Outlier Rejection and Loop Closure.
Proceedings of the 11th International Conference on Awareness Science and Technology, 2020

Weakly Supervised Subevent Knowledge Acquisition.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Social media for intelligent public information and warning in disasters: An interdisciplinary review.
Int. J. Inf. Manag., 2019

A Graph-based Approach for Detecting Critical Infrastructure Disruptions on Social Media in Disasters.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018
Temporal Event Knowledge Acquisition via Identifying Narratives.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
A Weakly Supervised Approach to Train Temporal Relation Classifiers and Acquire Regular Event Pairs Simultaneously.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Online Deception Detection Refueled by Real World Data Collection.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Using Context Events in Neural Network Models for Event Temporal Status Identification.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2008
An ungreedy Chinese deterministic dependency parser considering long-distance dependency.
Proceedings of the 4th International Conference on Natural Language Processing and Knowledge Engineering, 2008


  Loading...