Papers by Austen Liao

2 papers
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models (2025.findings-emnlp)

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Challenge: Existing benchmarks often overlook intra-language variations, leaving speakers of non-standard dialects underserved.
Approach: EnDive evaluates seven state-of-the-art large language models across tasks . human evaluations confirm high translation quality, with average scores of at least 6.02/7 .
Outcome: EnDive evaluates state-of-the-art large language models across language understanding, reasoning, mathematics, logic tasks.
TDFlow: Agentic Workflows for Test Driven Development (2026.eacl-long)

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Challenge: TDFlow decomposes software engineering program repair into four components governed by sub-agents.
Approach: They propose a test-driven agentic workflow that frames repository-scale software engineering as a testing task and decomposes it into four components governed by sub-agents.
Outcome: The proposed workflow achieves 88.8% pass rate on SWE-Bench Lite and 94.3% on Swe-Bech Verified when provided with human-written tests.

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