← Search

Belinda Li

2 accepted papers

2026

Position: It’s Time to Optimize for Self-Consistency

ICML 2026poster

Despite ever-increasing sophistication in language model (LM) pre- and post-training pipelines, many important failures persist: models overcondition on user framing (“sycophancy”), exhibit incomplete logical generalization, and produce confident but incorrect responses. We argue that these failures…

Cited by 0SourceScholar
2022

Quantifying Adaptability in Pre-trained Language Models with 500 Tasks

NAACL 2022long

When a neural language model (LM) is adapted to perform a new task, what aspects of the task predict the eventual performance of the model? In NLP, systematic features of LM generalization to individual examples are well characterized, but systematic aspects of LM adaptability to new tasks are not n…

Cited by 15SourcePDFScholar