activity
20242026
most citedSpecifications: The missing link to making the development of LLM systems an engineering discipline

2 citations · 3 across the 6 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Interaction-as-a-Judge

Wayne Chi, I-Hung Hsu, Li Chen +6

Coding agents are tasked with producing sophisticated interactive applications such as websites, desktop applications, and games. While humans assess these applications interactive…

cs.CV2026

Post-Training Frontier Text-to-Image Models by Composing Preference and Rubric Rewards

Yuanhao Ban, I-Hung Hsu, Anastasios Angelopoulos +3

Recent text-to-image generation models have achieved remarkable visual quality, but improving them through post-training remains challenging because no single reward signal capture…

cs.SE2025

EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits

Wayne Chi, Valerie Chen, Ryan Shar +8

Instructed code editing, where LLMs directly modify a developer's existing code based on a user instruction, is becoming a widely used interaction mode in AI coding assistants. How…

cs.SD2025

Music Arena: Live Evaluation for Text-to-Music

Yonghyun Kim, Wayne Chi, Anastasios N. Angelopoulos +5

We present Music Arena, an open platform for scalable human preference evaluation of text-to-music (TTM) models. Soliciting human preferences via listening studies is the gold stan…

cs.CL2025★ 1 cited

Search Arena: Analyzing Search-Augmented LLMs

Mihran Miroyan, Tsung-Han Wu, Logan King +8

Search-augmented language models combine web search with Large Language Models (LLMs) to improve response groundedness and freshness. However, analyzing these systems remains chall…

cs.SE2025

Copilot Arena: A Platform for Code LLM Evaluation in the Wild

Wayne Chi, Valerie Chen, Anastasios Nikolas Angelopoulos +7

Evaluating in-the-wild coding capabilities of large language models (LLMs) is a challenging endeavor with no clear solution. We introduce Copilot Arena, a platform to collect user…

cs.LG2025

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards

Yangsibo Huang, Milad Nasr, Anastasios Angelopoulos +10

It is now common to evaluate Large Language Models (LLMs) by having humans manually vote to evaluate model outputs, in contrast to typical benchmarks that evaluate knowledge or ski…

cs.SE2024★ 2 cited

Specifications: The missing link to making the development of LLM systems an engineering discipline

Ion Stoica, Matei Zaharia, Joseph Gonzalez +8

Despite the significant strides made by generative AI in just a few short years, its future progress is constrained by the challenge of building modular and robust systems. This ca…