Zhen Wang

Affiliations:
  • University of California, San Diego, CA, USA
  • Ohio State University, Columbus, OH, USA (PhD 2022)


According to our database1, Zhen Wang authored at least 20 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models.
CoRR, May, 2025

Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models.
CoRR, 2024

PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
GPT is becoming a Turing machine: Here are some ways to program it.
CoRR, 2023

Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Reasoning with Language Model is Planning with World Model.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

ThinkSum: Probabilistic reasoning over sets using large language models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Frustratingly Simple Entity Tracking with Effective Use of Multi-Task Learning Models.
CoRR, 2022

Bootstrapping a User-Centered Task-Oriented Dialogue System.
CoRR, 2022

Coherence boosting: When your pretrained language model is not paying enough attention.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Boosting coherence of language models.
CoRR, 2021

Modeling Context Pair Interaction for Pairwise Tasks on Graphs.
Proceedings of the WSDM '21, 2021

2020
Graph embedding on biomedical networks: methods, applications and evaluations.
Bioinform., 2020

Rationalizing Medical Relation Prediction from Corpus-level Statistics.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019


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