Publications

2026

• AlphaBet: Reinforcement Learning for LLM Event Forecasting Agents

  Liqin Ye, Rongzhi Zhang, Xin Liu, Zheng Li, Yuan He, Qingyu Yin, Priyanka Nigam, Chao Zhang

  Preprint·2026

  

• Forecast-Dojo: Replayable Environments for Benchmarking and Training LLM Forecasting Agents

  Liqin Ye^{* (equal contribution)}, Haorui Wang^{* (equal contribution)}, Fardin Ahmed, Rongzhi Zhang, Yuan He, Ziyuan Lin, Yanbin Yin, Jing Peng, Michael Galarnyk, Sudheer Chava, Chao Zhang

  Preprint·2026

  

• Can LLMs Take the Pulse of the Economy? A Real-Time Evaluation of LLM Nowcasts on Macroeconomic Indicators

  Xinyue Zhao, Ruiyi Zhang, Liqin Ye, Rui Cao, Pengtao Xie, Sudheer Chava

  EMNLP 2026·Main Conference · Oral

• IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents

  Michael Galarnyk, Siddharth Lohani, Vidhyakshaya Kannan, Sagnik Nandi, Aman Patel, Liqin Ye, Arnav Hiray, Rutwik Routu, Prasun Banerjee, Siddhartha Somani, Sudheer Chava

  KDD 2026·Datasets & Benchmarks Track

  

• Evolutionary Task Discovery: Advancing Reasoning Frontiers via Skill Composition and Complexity Scaling

  Liqin Ye, Yanbin Yin, Michael Galarnyk, Yuzhao Heng, Sudheer Chava, Chao Zhang

  Preprint·2026

2025

• Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing

  Rongzhi Zhang^{* (equal contribution)}, Liqin Ye^{* (equal contribution)}, Yuzhao Heng, Xiang Chen, Tong Yu, Lingkai Kong, Sudheer Chava, Chao Zhang

  Preprint·2025

• Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications

  Agam Shah, Siddhant Sukhani, Huzaifa Pardawala, Saketh Budideti, Riya Bhadani, Rudra Gopal, Siddhartha Somani, Rutwik Routu, Michael Galarnyk, Soungmin Lee, Arnav Hiray, Akshar Ravichandran, Eric Kim, Pranav Aluru, Joshua Zhang, Sebastian Jaskowski, Veer Guda, Meghaj Tarte, Liqin Ye, Spencer Gosden, Rachel Yuh, Sloka Chava, Sahasra Chava, Dylan Patrick Kelly, Aiden Chiang, Harsit Mittal, Sudheer Chava

  NeurIPS 2025·Datasets & Benchmarks Track

  

• Beyond the Reported Cutoff: Where Large Language Models Fall Short on Financial Knowledge

  Agam Shah, Liqin Ye, Sebastian Jaskowski, Wei Xu, Sudheer Chava

  COLM 2025

• Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement

  Liqin Ye, Agam Shah, Chao Zhang, Sudheer Chava

  KDD 2025·Research Track