From the 1 of 12 linked papers with an AI index.
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WikiLoop: Jointly Learning to Build and Navigate Agent-Native Wikis with Downstream Feedback
Haoliang Ming, Feifei Li, Wenhui Que
WikiLoop is a framework that jointly learns to build a machine‑readable wiki and to navigate it for answering queries, using downstream answer correctness as feedback to guide stru…
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…
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…
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…