1 citations · 1 across the 7 of their papers we have counts for
9 papers
You Changed Your Mind, The Model Didn't: Demystifying Intent in Multi-Turn Dialogue
Junle Chen, Wei Chen, Zhengjun Huang +5
When a large language model handles a multi-turn task and a user proposes a change but ultimately rejects it, the model should continue as if nothing changed. We find a surprising…
Beyond Retrieval: Analytic Memory for Multimodal Agents
Zhoujin Tian, Hao Zhang, Yao Tian +4
Long-term multimodal memory must support not only retrieving relevant information but also computing over observations accumulated across interactions. Existing systems largely emp…
Trip+: Benchmarking Agents in Personalized Interactive Travel Planning
Junle Chen, Wei Chen, Yehong Xu +6
Interactive travel planning has become a popular use case for language models. Agents are deployed to manage evolving preferences and unexpected disruptions over multiple turns. Su…
MExam: Benchmarking Multimodal Memory for Realistic User-Agent Interactions
Zhengjun Huang, Wenxuan Liu, Zhoujin Tian +6
Language agents are increasingly deployed over accumulating multimodal information, yet existing benchmarks assume a human-human form with sparse visuals and straightforward conten…
GEM: A Native Graph-based Index for Multi-Vector Retrieval
Yao Tian, Zhoujin Tian, Xi Zhao +2
In multi-vector retrieval, both queries and data are represented as sets of high-dimensional vectors, enabling finer-grained semantic matching and improving retrieval quality over…
LiCoMemory: Lightweight and Cognitive Agentic Memory for Efficient Long-Term Reasoning
Zhengjun Huang, Zhoujin Tian, Qintian Guo +5
Large Language Model (LLM) agents exhibit remarkable conversational and reasoning capabilities but remain constrained by limited context windows and the lack of persistent memory.…
mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architecture
Wei Zhang, Hongcheng Guo, Jian Yang +8
Root cause analysis (RCA) in Micro-services architecture (MSA) with escalating complexity encounters complex challenges in maintaining system stability and efficiency due to fault…
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction
Zhoujin Tian, Chaozhuo Li, Shuo Ren +8
Bilingual lexicon induction induces the word translations by aligning independently trained word embeddings in two languages. Existing approaches generally focus on minimizing the…
TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization
Ze Yang, Liran Wang, Zhoujin Tian +2
Although pre-trained language models (PLMs) have achieved great success and become a milestone in NLP, abstractive conversational summarization remains a challenging but less studi…