3 citations · 3 across the 11 of their papers we have counts for
4 papers · 2 filters
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…
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…