Papers by WonJune Jang
CLAG: Adaptive Memory Organization via Agent-Driven Clustering for Small Language Model Agents (2026.findings-acl)
Copied to clipboard
| Challenge: | Large language model agents rely on external memory to support knowledge reuse and reasoning tasks. |
| Approach: | They propose a CLustering-based AGentic memory framework where an agent actively organizes memory . they employ an SLM-agent driven router to assign each new memory to a semantically coherent cluster . |
| Outcome: | The proposed framework improves answer quality and robustness over previous memory systems. |
ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway (2026.findings-acl)
Copied to clipboard
| Challenge: | Recent advances in large language models have enabled molecular reasoning for property prediction. however, toxicity arises from complex biological mechanisms, necessitating mechanistic reasoning for reliable prediction. |
| Approach: | They propose a benchmark that evaluates organ-level toxicity reasoning across multiple organs . they find strong predictive performance does not necessarily imply reliable reasoning . |
| Outcome: | The proposed benchmark evaluates toxicity prediction performance and reasoning quality across LLMs. |