agent navigation 1feedback-coupled learning 1joint training 1knowledge base construction 1retrieval-augmented agents 1
From the 1 of 4 linked papers with an AI index.
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2026
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…
cs.CL2026
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…
cs.CL2026
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…