Papers by Samuel Kim

2 papers
Syntactical Analysis of the Weaknesses of Sentiment Analyzers (D18-1)

Copied to clipboard

Challenge: polarity items are lexical items that can only appear in specific licensing contexts.
Approach: They analyze sentiment analyzers for negative polarity items and a set of 150 test sentences . they describe a syntactic phenomenon that an ideal sentiment analyzeur must understand .
Outcome: The proposed method focuses on two sentential structures: downward entailment and non-monotone quantifiers.
Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities (2026.acl-long)

Copied to clipboard

Challenge: Uncertainty quantification (UQ) for large language models is a key building block for daily applications.
Approach: They propose a general formulation of agent UQ that subsumes broad classes of existing UQ setups.
Outcome: The proposed framework is based on the first general formulation of agent UQ that subsumes broad classes of existing setups.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations