5 citations · 5 across the 3 of their papers we have counts for
4 papers
Clarification Is Not Correction: LLMs Fail to Let Go
Jianzhe Lin, Xiaolin Li, Fei Wang +3
Dialogue failures in language models are usually framed as memory failures: context too long, summaries lossy, a constraint forgotten. We argue this misses a deeper problem: in man…
When LLM Agents Fail to Read the Room: ReAdapt for Relational Social Reasoning
Jianzhe Lin, Xiaolin Li, Yunda Liu +2
A social agent's most basic decisions (should I react to this post? who should I reach out to?) are not purely content problems. The right action often hinges on the latent relatio…
Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines
Jianzhe Lin, Fei Wang, Xiaolin Li +2
Industrial LLM teams often ship behavior updates by repeatedly DPO-training a base model on sequences of related preference-data campaigns. The dominant failure mode in this regime…
Automated Unit Test Improvement using Large Language Models at Meta
Nadia Alshahwan, Jubin Chheda, Anastasia Finegenova +6
This paper describes Meta's TestGen-LLM tool, which uses LLMs to automatically improve existing human-written tests. TestGen-LLM verifies that its generated test classes successful…