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Joseph Lee

4 accepted papers

2026

StochasTok: Improving Fine-Grained Subword Understanding in LLMs

ICLR 2026poster

Subword-level understanding is integral to numerous tasks, including understanding multi-digit numbers, spelling mistakes, abbreviations, rhyming, and wordplay. Despite this, current large language models (LLMs) still struggle disproportionally with seemingly simple subword-level tasks, like countin…

Cited by 0SourcecodeScholar
2024

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer’s Disease Questions with Scientific Literature

EMNLP 2024finding

Recent advancements in large language models (LLMs) have achieved promising performances across various applications. Nonetheless, the ongoing challenge of integrating long-tail knowledge continues to impede the seamless adoption of LLMs in specialized domains. In this work, we introduce DALK, a.k.a…

2019

Tree Search Techniques for Minimizing Detectability and Maximizing Visibility

ICRA 2019poster

We introduce and study the problem of planning a trajectory for an agent to carry out a reconnaissance mission while avoiding being detected by an adversarial guard. This introduces a multi-objective version of classical visibility-based target search and pursuit-evasion problem. In our formulation,…

Cited by 7SourceScholar