Research

LLM Chess: Benchmarking Reasoning and Instruction-Following in LLMs through Chess

Sai Kolasani, Maxim Saplin, Nicholas Crispino, Kyle Montgomery, Jared Quincy Davis, Matei Zaharia, Chi Wang, Chenguang Wang

NeurIPS 2025 Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability (FoRLM)

[Paper] [Code]

Ember: an inference-time scaling architecture framework

Jared Quincy Davis et al.

[Paper] [Code]

Agent Arena: Evaluating and Comparing LLM Agents Across Models, Tools, and Frameworks

Nithik Yekollu, Arth Bohra, Ashwin Chirumamilla, Kai Wen, Sai Kolasani, Wei-Lin Chiang, Anastasios Angelopoulos, Joseph E. Gonzalez, Ion Stoica, Shishir G. Patil

Berkeley AI Research Blog, 2024

[Paper]

Emotion-tune: Improving RLHF with Emotion-Based Feedback

[Paper] [Code]

Predicting Stock Movement Using Sentiment Analysis of Twitter Feed with Neural Networks

Sai Kolasani, Rida Assaf

Journal of Data Analysis and Information Processing, 2020

[Paper]