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Jing-Jie Ning

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Preprint Oct 2026

Agentic RAG Evaluation: Budget Allocation Across Questions, Trajectories, and Reads

Evaluation budgets in agentic retrieval-augmented generation span questions, search trajectories, and repeated answers. We measure allocation precision, reading efficiency, and cost boundaries using a retrieval-feedback comparison on HotpotQA and MuSiQue. At 34.14--34.39M model tokens, broader question coverage lowers...

Jing-Jie Ning, Xue-Qi Li, Yi-Bo Kong · 0 citations
#artificial intelligence Preprint Sep 2026

Rules to Tools: Executable Checks for LLM Agents in Scientific Computing

Scientific coding agents receive equations, boundary conditions, and output requirements in writing, then must assess the programs they revise. Rules to Tools (R2T) supplies prepared executable checks of public scientific requirements. Matched SciCode repair groups share written checks, starting programs, model, and bu...

Jing-Jie Ning, Guo-Jiang Zhao, Cheng-Xin Xu et al. · 0 citations
#artificial intelligence Review Sep 2026

ControlScope: Workflow Revision and Reliability in LLM Agents

ControlScope compares continuing generated code, editing the next tool call's data arguments, and replacing the unfinished workflow from the same public execution state to evaluate one-time and repeated reviews across filesystem tasks, ALFWorld, and AppWorld.

Jing-Jie Ning, Xue-Qi Li, Yi-Bo Kong et al. · 0 citations
#artificial intelligence Preprint Sep 2026

WhatWorkedBench: Benchmarking Experimental Understanding in AI Agents

WhatWorkedBench links acquisition, inference, program structure, and delivery through a delivered response surface of configuration scores, which evaluates this experimental understanding through a delivered response surface of configuration scores.

Jing-Jie Ning, Xue-Qi Li, Yi-Bo Kong et al. · 1 citation
#artificial intelligence Preprint Sep 2026

Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents

The Discovery Certification Protocol (DCP) turns an outcome claim into an executable audit under a registered model, information boundary, and budget, and a deterministic verifier reproduces these local decisions from frozen records.

Jing-Jie Ning, Shan Zhong, Xiao-Chuan Li et al. · 1 citation
Book Open access Jul 2026

DeepResearchGym: A Free, Transparent, and Reproducible Sandbox for Deep Research

The sandbox provides a search API that indexes large-scale public web corpora, namely ClueWeb22 and FineWeb, using a state-of-the-art dense retriever and approximate nearest neighbor search via DiskANN and achieves comparable latency to popular commercial APIs while ensuring stable document rankings across runs.

João Coelho, Jingjie Ning, Jingyuan He et al. · 3 citations

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