activity
20232026
most citedOnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters

2 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

PhysAlign: A Benchmark for Evidence-Grounded Role Alignment in Multimodal Physics Reasoning

Kecheng Liang, Haoyang Liu, Zexin Chen +5

A key challenge in physics diagram understanding is correctly associating visual information with the physical entities, relations, and conditions it describes. Even when a value,…

cs.CV2026

EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal Evidence

Linpeng Huang, Weixing Chen, Zexin Chen +2

Recent advances in Video Large Language Models (Video-LLMs) have yielded promising performance on Video Question Answering (VideoQA). Nevertheless, existing benchmarks are predomin…

cs.AI2025★ 1 cited

STORY2GAME: Generating (Almost) Everything in an Interactive Fiction Game

Eric Zhou, Shreyas Basavatia, Moontashir Siam +2

We introduce STORY2GAME, a novel approach to using Large Language Models to generate text-based interactive fiction games that starts by generating a story, populates the world, an…

cs.CL2024★ 2 cited

OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters

Zexin Chen, Chengxi Li, Xiangyu Xie +1

This paper explores the potential of a small, domain-specific language model trained exclusively on sports-related data. We investigate whether extensive training data with special…

cs.CL2023★ 2 cited

Ambient Adventures: Teaching ChatGPT on Developing Complex Stories

Zexin Chen, Eric Zhou, Kenneth Eaton +2

Imaginative play is an area of creativity that could allow robots to engage with the world around them in a much more personified way. Imaginary play can be seen as taking real obj…