14 papers
SocialBuddy: Tailoring Search Agent for Social Scenarios
Mingxuan Li, Yirong Mao, FaZhan Zhang +3
In the era of digital social interaction, searching friends' posts from massive social streams has become a fundamental user need. However, while modern agentic search frameworks h…
IAPO: Influence-Aware Policy Optimization for Credit Assignment in Multi-Turn Service Agents
Bo Ren, Yirong Mao, Yi Yang +1
Large Language Model (LLM) agents increasingly solve long-horizon tasks through multi-turn interactions with users and external tools. In these settings, relevant task information…
EviGraph: Towards Verifiable Evidence Construction for Information-Seeking Agents
Jiashun Chen, Yirong Mao, Wenhui Que
Agentic Web search can retrieve relevant information without establishing that the retrieved content actually supports the claims used in an answer. Existing agents typically keep…
EvoWiki: Incremental State Overwriting and Traceable Question Answering for Cross-Meeting Knowledge Evolution
Dongsheng Chen, Tianyu Wang, Wenhui Que
In long-term collaboration spanning multiple meetings, factual states such as decisions and risks are continually revised, overturned, and replaced. Existing long-context methods t…
When History Lies: Evaluating and Improving Tool Use under Misleading Multi-Turn Histories
Xiaoqing Wu, Xingyu Fan, Feifei Li +1
Tool-calling agents infer task state from accumulated dialogue and tool traces. In persistent interactions, however, historical traces may remain structurally valid and semanticall…
DUET: Dual-Teacher On-Policy Distillation via Same-Weight Disagreement for Prohibition Compliance
Zihan Li, Feifei Li, Wenhui Que
Real-world LLM deployments increasingly rely on runtime-injected prohibitions--enterprise policies, PII redlines, tool boundaries--that vary per request and per tenant. Conventiona…
WikiLoop: Jointly Learning to Build and Navigate Agent-Native Wikis with Downstream Feedback
Haoliang Ming, Feifei Li, Wenhui Que
Knowledge-base construction and querying are typically optimized in isolation: retrieval-augmented agents operate over a fixed, externally maintained index, whereas construction re…
WikiKV: Schema-Evolving Path-Indexed Storage for Hierarchical Knowledge Navigation
Feifei Li, Haoliang Ming, Zihan Li +5
LLM-curated hierarchical knowledge bases, namely a tree-structured wiki whose nodes summarize an underlying corpus, have become a dominant substrate for retrieval-augmented applica…
MemCog: From Memory-as-Tool to Memory-as-Cognition in Conversational Agents
Zihan Li, Xingyu Fan, Feifei Li +1
Existing agent memory systems universally follow what we term a Memory-as-Tool paradigm where a single query triggers one-shot retrieval of flat passage lists, suffering from passi…
Retrieval as Reasoning: Self-Evolving Agent-Native Retrieval via LLM-Wiki
Haoliang Ming, Feifei Li, Xiaoqing Wu +1
LLM agents require retrieval to behave less like one-shot context fetching and more like reasoning: searching, reading, traversing, and deciding when evidence is sufficient. Yet cu…
AuthTrace: Diagnosing Evidence Construction in Thematically Dense Single-Author Corpora
Xiaoqing Wu, Feifei Li, Haoliang Ming +1
Evidence construction--the stage that determines which passages reach the language model before generation begins--is evaluated paradigm by paradigm, leaving practitioners with no…
Semantic Flow Regularization: Teaching LLMs to Generate Diverse Yet Coherent Responses
Kerui Peng, Feifei Li, Xingyu Fan +1
When large language models are fine-tuned to generate persona- or tone-conditioned responses, their output diversity is severely limited--a failure we term Cross-Style Collapse. We…
HiMeS: Hippocampus-inspired Memory System for Personalized AI Assistants
Hailong Li, Feifei Li, Wenhui Que +1
Large language models (LLMs) power many interactive systems such as chatbots, customer-service agents, and personal assistants. In knowledge-intensive scenarios requiring user-spec…
One Agent to Serve All: a Lite-Adaptive Stylized AI Assistant for Millions of Multi-Style Official Accounts
Xingyu Fan, Feifei Li, Wenhui Que +1
Conversational agents deployed in industrial-scale official account platforms must generate responses that are both contextually grounded and stylistically aligned-requirements tha…