Publications

A collection of my research work.

Showing 23 papers

The Tool Illusion: Rethinking Tool Use in Web Agents

Renze Lou, Baolin Peng, Wenlin Yao, Qianhui Wu, Hao Cheng, et al.

Preprint 2026

Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning

Jihyun Janice Ahn, Ryo Kamoi, Berk Atil, Renze Lou, WonWoo Kang, et al.

Preprint 2026

AAAR-1.0: Assessing AI's Potential to Assist Research

Renze Lou, Hanzi Xu, Sijia Wang, Jiangshu Du, Ryo Kamoi, et al.

ICML 2025|Also Best Paper Award @ AI4Research workshop, AAAI 2025
Code

Chain-of-scrutiny: Detecting backdoor attacks for large language models

Xi Li, Ruofan Mao, Yusen Zhang, Renze Lou, Chen Wu, et al.

Findings of ACL 2025

HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?

Yusen Zhang, Wenliang Zheng, Aashrith Madasu, Peng Shi, Ryo Kamoi, et al.

ICCV 2025

Advancing Language Models through Instruction Tuning: Recent Progress and Challenges

Zhihan Zhang, Renze Lou, Fangkai Jiao, Wenpeng Yin, Meng Jiang

EMNLP 2025 Tutorial

TravelPlanner: A Benchmark for Real-World Planning with Language Agents

Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, et al.

ICML 2024|Spotlight (3.5%)
Code

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following

Renze Lou, Kai Zhang, Jian Xie, Yuxuan Sun, Janice Ahn, et al.

ICLR 2024
Code

Adaptive Chameleon or Stubborn Sloth: Unraveling the Behavior of Large Language Models in Knowledge Conflicts

Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, Yu Su

ICLR 2024|Spotlight (5%)
Code

UMIE: Unified Multimodal Information Extraction with Instruction Tuning

Lin Sun, Kai Zhang, Qingyuan Li, Renze Lou

AAAI 2024|Oral
Code

Forget Demonstrations, Focus on Learning from Textual Instructions

Renze Lou, Wenpeng Yin

EACL 2024 SRW
Code

Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning

Renze Lou, Kai Zhang, Wenpeng Yin

Computational Linguistics 2024
Code

Large language models for mathematical reasoning: Progresses and challenges

Janice Ahn, Rishu Verma, Renze Lou, Di Liu, Rui Zhang, et al.

EACL 2024 SRW

LLMs assist NLP researchers: Critique paper (meta-) reviewing

Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, et al.

EMNLP 2024

Evaluating LLMs at Detecting Errors in LLM Responses

Ryo Kamoi, Sarkar Snigdha Sarathi Das, Renze Lou, Jihyun Janice Ahn, Yilun Zhao, et al.

COLM 2024

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents

Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh RN, Tian Lan, Lei Li, Renze Lou, et al.

ICLR 2024

Llms' classification performance is overclaimed

Hanzi Xu, Renze Lou, Jiangshu Du, Vahid Mahzoon, Elmira Talebianaraki, et al.

Preprint 2024

Page: A position-aware graph-based model for emotion cause entailment in conversation

Xiaojie Gu, Renze Lou, Lin Sun, Shangxin Li

ICASSP 2023

Improving English-Arabic transliteration with phonemic memories

Yuanhe Tian, Renze Lou, Xiangyu Pang, Lianxi Wang, Shengyi Jiang, et al.

Findings of EMNLP 2022

Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks

Weicheng Ma, Kai Zhang, Renze Lou, Lili Wang, Soroush Vosoughi

ACL 2021|Oral
Code

MORE: A Metric Learning Based Framework for Open-Domain Relation Extraction

Renze Lou, Yutong Wang, Kai Zhang, Maoyan Chen, Yujiu Yang

ICASSP 2021
Code

A Unified Representation Learning Strategy for Open Relation Extraction with Ranked List Loss

Renze Lou, Fan Zhang, Xiaowei Zhou, Yutong Wang, Minghui Wu, et al.

CCL 2021
Code

GradTS: A gradient-based automatic auxiliary task selection method based on transformer networks

Weicheng Ma, Renze Lou, Kai Zhang, Lili Wang, Soroush Vosoughi

EMNLP 2021