1 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation
Yuan Si, Simeng Han, Daming Li +1
Memory and RAG evaluations often treat the answering model's input as an implementation detail, even though systems may render the same history as a memory entry, summary, typed re…
Do Recommendation Algorithms Work When Users Are LLM Agents? A Case Study on Moltbook
Daming Li, Simeng Han, Jialu Zhang
Large language model (LLM) agents are increasingly populating web platforms, raising a fundamental question for recommender systems: do algorithms designed for human users still wo…
Attraction, Not Adaptation: How AI Agent Communities Develop Distinct Linguistic Identities
Daming Li, Simeng Han, Can Meng +2
When tens of thousands of autonomous AI agents interact in topical online forums, do they develop distinct community-specific linguistic identities? We study this question on Moltb…
ScratchEval : A Multimodal Evaluation Framework for LLMs in Block-Based Programming
Yuan Si, Simeng Han, Daming Li +2
LLMs have achieved strong performance on text-based programming tasks, yet they remain unreliable for block-based languages such as Scratch. Scratch programs exhibit deeply nested,…