Wenlong Zhao

According to our database, Wenlong Zhao authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis.

Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh

CoRR, 2024

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries.

Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh

CoRR, 2024

Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval.

Jonghyun Song, Cheyon Jin, Wenlong Zhao, Jay-Yoon Lee

CoRR, 2024

Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval.

Jonghyun Song, Cheyon Jin, Wenlong Zhao, Andrew McCallum, Jay-Yoon Lee

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models.

Wenlong Zhao, Debanjan Mondal, Niket Tandon, Danica Dillion, Kurt Gray, Yuling Gu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation.

Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Multistage Collaborative Knowledge Distillation from Large Language Models.

Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum

CoRR, 2023

Editing Commonsense Knowledge in GPT.

Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Lorraine Li, Sarah Wiegreffe, Niket Tandon

CoRR, 2023

Machine Reading Comprehension using Case-based Reasoning.

Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Editing Common Sense in Transformers.

Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Li, Sarah Wiegreffe, Niket Tandon

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution.

Ankita Gupta, Marzena Karpinska, Wenlong Zhao, Kalpesh Krishna, Jack Merullo, Luke Yeh, Mohit Iyyer, Brendan O'Connor

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Structured Energy Network As a Loss.

Jay Yoon Lee, Dhruvesh Patel, Purujit Goyal, Wenlong Zhao, Zhiyang Xu, Andrew McCallum

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression.

Yuezhou Sun, Wenlong Zhao, Lijun Zhang, Xiao Liu, Hui Guan, Matei Zaharia

CoRR, 2021

IGA: An Intent-Guided Authoring Assistant.

Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad I. Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings.

Prafull Prakash, Saurabh Kumar Shashidhar, Wenlong Zhao, Subendhu Rongali, Haidar Khan, Michael Kayser

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Rethinking Exposure Bias In Language Modeling.

Yifan Xu, Kening Zhang, Haoyu Dong, Yuezhou Sun, Wenlong Zhao, Zhuowen Tu

CoRR, 2019