Wenlong Zhao

27 papers A* 5Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Test-Time Strategies for More Efficient and Accurate Agentic RAG.
CoRR
Brian Zhang, Deepti Guntur, Zhiyang Zuo, Abhinav Sharma, Shreyas Chaudhari, Wenlong Zhao, Franck Dernoncourt, Puneet Mathur, Ryan Rossi, Nedim Lipka
2025 J jnl
Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis.
CoRR
Anushka Yadav, Isha Nalawade, Srujana Pillarichety, Yashwanth Babu, Reshmi Ghosh, Samyadeep Basu, Wenlong Zhao, Ali Nasaeh, Sriram Balasubramanian, Soundararajan Srinivasan
2025 J jnl
OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics.
CoRR
Vineeth Dorna, Anmol Mekala, Wenlong Zhao, Andrew McCallum, Zachary C. Lipton, J. Zico Kolter, Pratyush Maini
2025 A* conf
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs.
ICLR
Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava
2024 A* conf
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval.
EMNLP
Jonghyun Song, Cheyon Jin, Wenlong Zhao, Andrew McCallum, Jay-Yoon Lee
2024 J jnl
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval.
CoRR
Jonghyun Song, Cheyon Jin, Wenlong Zhao, Jay-Yoon Lee
2024 J jnl
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries.
CoRR
Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh
2024 A* conf
Learning Representations for Hierarchies with Minimal Support.
NeurIPS
Benjamin Rozonoyer, Michael Boratko, Dhruvesh Patel, Wenlong Zhao, Shib Sankar Dasgupta, Hung Le, Andrew McCallum
2024 — conf
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation.
ACL (1)
Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum
2024 J jnl
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis.
CoRR
Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh
2024 J jnl
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs.
CoRR
Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava
2024 — conf
WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models.
LREC/COLING
Wenlong Zhao, Debanjan Mondal, Niket Tandon, Danica Dillion, Kurt Gray, Yuling Gu
2024 J jnl
WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models.
CoRR
Wenlong Zhao, Debanjan Mondal, Niket Tandon, Danica Dillion, Kurt Gray, Yuling Gu
2023 A* conf
Editing Common Sense in Transformers.
EMNLP
Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Li, Sarah Wiegreffe, Niket Tandon
2023 J jnl
Editing Commonsense Knowledge in GPT.
CoRR
Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Lorraine Li, Sarah Wiegreffe, Niket Tandon
2023 — conf
Machine Reading Comprehension using Case-based Reasoning.
EMNLP (Findings)
Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum
2023 J jnl
Machine Reading Comprehension using Case-based Reasoning.
CoRR
Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum
2023 J jnl
Multistage Collaborative Knowledge Distillation from Large Language Models.
CoRR
Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum
2023 — conf
ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution.
EACL (Findings)
Ankita Gupta, Marzena Karpinska, Wenlong Zhao, Kalpesh Krishna, Jack Merullo, Luke Yeh, Mohit Iyyer, Brendan O'Connor
2022 A* conf
Structured Energy Network As a Loss.
NeurIPS
Jay Yoon Lee, Dhruvesh Patel, Purujit Goyal, Wenlong Zhao, Zhiyang Xu, Andrew McCallum
2022 J jnl
ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution.
CoRR
Ankita Gupta, Marzena Karpinska, Wenlong Zhao, Kalpesh Krishna, Jack Merullo, Luke Yeh, Mohit Iyyer, Brendan T. O'Connor
2021 J jnl
IGA : An Intent-Guided Authoring Assistant.
CoRR
Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad I. Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer
2021 — conf
IGA: An Intent-Guided Authoring Assistant.
EMNLP (1)
Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad I. Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer
2021 J jnl
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression.
CoRR
Yuezhou Sun, Wenlong Zhao, Lijun Zhang, Xiao Liu, Hui Guan, Matei Zaharia
2020 — conf
Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings.
EMNLP (Findings)
Prafull Prakash, Saurabh Kumar Shashidhar, Wenlong Zhao, Subendhu Rongali, Haidar Khan, Michael Kayser
2020 J jnl
Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings.
CoRR
Prafull Prakash, Saurabh Kumar Shashidhar, Wenlong Zhao, Subendhu Rongali, Haidar Khan, Michael Kayser
2019 J jnl
Rethinking Exposure Bias In Language Modeling.
CoRR
Yifan Xu, Kening Zhang, Haoyu Dong, Yuezhou Sun, Wenlong Zhao, Zhuowen Tu