Evidence-Grounded Generation

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16 papers in the last four weeks, up 14% on the four weeks before. 0.2% of all new papers.

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AI Economist Agent: An Agentic Framework for Evidence-Based Economic and Financial Analysis with RAG, Knowledge Graphs, and Large Language Models
Jun 18, 2026Masahiro KatoAgentic RAG LLM Agents
The University of Tokyo
CacheWeaver: Cache-Aware Evidence Ordering for Efficient Grounded RAG Inference
Jun 18, 2026Kaizhen Tan, Rong Gu, Mingyuan LiLLM Inference Efficiency Retrieval-Augmented Generation
Heinz College of Information Systems and Public Policy, Carnegie Mellon University, USA
X+Slides: Benchmarking Audience-Conditioned Slide Generation
Jun 17, 2026Haodong Chen, Xuanhe Zhou, Wei Zhou +6Evidence-Grounded Generation Conditional Generation
Shanghai Jiao Tong University · Harbin Institute of Technology · SenseTime
EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries
Jun 14, 2026Jiyoun Kim, Muhan Yeo, Eunhye Jang +14Clinical QA Evidence-Grounded Generation
KAIST · Seoul National University · Seoul National University Bundang Hospital +9
CalBrief: A Pilot Diagnostic Benchmark for Evidence-Calibrated Scientific Briefing with Large Language Models
Jun 11, 2026Yu Fu, Yongqi Kang, Yong ZhaoLLM Evaluation AI-Assisted Scientific Research
Sichuan University
Constructing Evaluation Datasets for Procedural Reasoning: Balancing Naturalness, Grounding, and Multi-Hop Coverage
Jun 11, 2026Sarah Elshabrawy, Rahul K. Dass, Ashok K. GoelIntelligent Tutoring Systems Synthetic Benchmark Generation
Georgia Institute of Technology, Atlanta GA, USA
Explicit Evidence Grounding via Structured Inline Citation Generation
Jun 5, 2026Anar Yeginbergen, Amelie Wührl, Anna Rogers +1Evidence-Grounded Generation
University of the Basque Country (UPV/EHU) · 2IT University of Copenhagen
EGTR-Review: Efficient Evidence-Grounded Scientific Peer Review Generation via Multi-Agent Teacher Distillation
Jun 4, 2026Xinpeng Qiu, Wang Yihu, Zhifeng Liu +2Multi-Agent LLM Systems Evidence-Grounded Generation
Department of Information Management, Peking University · PKU-WUHAN Institute for Artificial Intelligence, Peking University
Hierarchical Online Prompt Mutation with Dual-Loop Feedback for Guardrailed Evidence Document Generation: A Production-Evaluation Case Study
May 31, 2026Nataraj Agaram Sundar, Tejas MorabiaLLM Guardrails Human-in-the-Loop Evaluation
eBay Inc. · San Jose, CA, USA
Ryze: Evidence-Enriched Data Synthesis from Biomedical Papers
May 30, 2026Yeqi Huang, Yue Chen, Yanwei Ye +2VLM Adaptation Synthetic Data Generation
University of Edinburgh, United Kingdom
Grounded Decoding: Retrieval-Anchored Probability Fusion for Faithful RAG
May 29, 2026Ibne Farabi Shihab, Fariya Afrin, Sanjeda Akter +1Retrieval-Augmented Generation Language Model Decoding
Department of Computer Science, Iowa State University · Department of Computer Science, Kalinga Institute of Industrial Technology · Department of Civil, Construction & Environmental Engineering, Iowa State University
TIGER: Traceable Inference with Graph-Based Evidence Routing for Mitigating Hallucinations in Multimodal Generation
May 29, 2026Kaixiang Zhao, Tianrun Yu, Shawn Huang +3Multimodal Grounding Multimodal Generation
Brigham Young University · Florida State University
Extending AI for Research to the Humanities: A Multi-Agent Framework for Evidence-Grounded Scholarship
May 29, 2026Yating Pan, Jiajun Zhang, Jun Wang +1Multi-Agent LLM Systems Evidence-Grounded Generation
Department of Information Management, Peking University · Research Center for Digital Humanities, Peking University · Institute for Artificial Intelligence, Peking University +1
COMPOSE: Composing Future Theorems from Citations and Formal Structure
May 28, 2026David Busbib, Michael WermanGraph Retrieval-Augmented Generation Evidence-Grounded Generation
Hebrew University of Jerusalem
DeepSurvey: Agent-Oriented Automated Survey Generation with Analytical Depth and Citation Reliability
May 28, 2026Ziyue Yang, Da Ma, Hanqi Li +8AI for Science AI Agents for Scientific Discovery
X-LANCE Lab, School of Computer Science, Shanghai Jiao Tong University, Shanghai, China · Suzhou Laboratory, Suzhou, China · Shanghai Innovation Institution, Shanghai, China +1
ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence
May 25, 2026Rui Meng, Bhavana Dalvi Mishra, Jiefeng Chen +10Data Provenance Citation Verification
Google Cloud AI Research
LECTOR: Joint Optimization of Scientific Reasoning Graphs and Introduction Generation
May 25, 2026Jiabei Xiao, Yizhou Wang, Chen Tang +3RL for Language Model Reasoning AI-Assisted Scientific Research
1The Chinese University of Hong Kong · 2Shanghai Artificial Intelligence Laboratory · 3Fudan University
EVE-Agent: Evidence-Verifiable Self-Evolving Agents
May 21, 2026Yamato Arai, Yuma IchikawaLLM Agent Self-Improvement LLM Agent Training
Fujitsu Limited Department of Basic Science · The University of Tokyo · Fujitsu Limited +1
Divide-Prompt-Refine: a Training-Free, Structure-Aware Framework for Biomedical Abstract Generation
May 20, 2026Sylvey Lin, Joe Menke, Shufan Ming +3AI-Assisted Scientific Research Text Summarization
School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL · Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL
Vector RAG vs LLM-Compiled Wiki: A Preregistered Comparison on a Small Multi-Domain Research
May 18, 2026Theodore O. CochranLLM Inference Efficiency AI-Assisted Scientific Research
AI for Altruism (A4A)
Evidence-Grounded Frontier Mapping and Agentic Hypothesis Generation in Nanomedicine
May 18, 2026Christiaan G. A. Viviers, Koen de Bruin, Mirre M. Trines +6Scientific Hypothesis Generation Evidence-Grounded Generation
ARIA Lab, Signal Processing Systems, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands. · Laboratory of Chemical Biology, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands. · The Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa, Israel. +2
UniPPTBench: A Unified Benchmark for Presentation Generation Across Diverse Input Settings
May 17, 2026Bo Zhao, Maosheng Pang, Chen Zhang +3Multimodal Generation Evidence-Grounded Generation
TRACE: Evidence Grounding-Guided Multi-Video Event Understanding and Claim Generation
May 16, 2026Pengyu Yan, Akhil Gorugantu, Mahesh Bhosale +3Video Reasoning Evidence-Grounded Generation
University at Buffalo, SUNY · 2New York University
Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact
May 13, 2026Haofei Xu, Umar Iqbal, Jacob M. MontgomeryCitation Verification Generative Retrieval
Washington University in St. Louis
Fine-Grained Benchmark Generation for Comprehensive Evaluation of Foundation Models
May 12, 2026Mohammed Saidul Islam, Negin Baghbanzadeh, Farnaz Kohankhaki +5LLM Evaluation Benchmark Design
1Vector Institute · 2York University
Neural at ArchEHR-QA 2026: One Method Fits All: Unified Prompt Optimization for Clinical QA over EHRs
May 11, 2026Abrar Majeedi, Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy Bogireddy +1Healthcare Clinical QA
University of Wisconsin–Madison · University of Chicago · Independent Researcher
FinRAG-12B: A Production-Validated Recipe for Grounded Question Answering in Banking
May 6, 2026Denys Katerenchuk, Pablo Duboue, Keelan Evanini +6Financial Services LLM Grounding
Kasisto, New York, NY · Textualization, Vancouver, Canada · NBME, Philadelphia, PA
SURE-RAG: Sufficiency and Uncertainty-Aware Evidence Verification for Selective Retrieval-Augmented Generation
May 5, 2026Jingxi Qiu, Zeyu Han, Cheng HuangRetrieval-Augmented Generation LLM Answer Verification
ZenWeave AI · Georgetown University · Southern Methodist University
HealthNLP_Retrievers at ArchEHR-QA 2026: Cascaded LLM Pipeline for Grounded Clinical Question Answering
Apr 29, 2026Md Biplob Hosen, Md Alomgeer Hussein, Md Akmol Masud +3LLM Grounding Healthcare
University of Maryland Baltimore County, Baltimore, MD, USA · 2Jahangirnagar University, Savar, Dhaka, Bangladesh
Dont Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination
Apr 27, 2026Prafulla Kumar Choubey, Kung-Hsiang Huang, Pranav Narayanan Venkit +5Deep Research Agents LLM Agent Orchestration
Salesforce AI Research
FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification
Apr 26, 2026Dongxin Guo, Jikun Wu, Siu Ming YiuLLM Answer Verification Financial QA
1The University of Hong Kong · 2Stellaris AI Limited
MedProbeBench: Systematic Benchmarking at Deep Evidence Integration for Expert-level Medical Guideline
Apr 20, 2026Jiyao Liu, Jianghan Shen, Sida Song +19Healthcare AI Agent Benchmarks
Fudan University, Shanghai, China · Shanghai Artificial Intelligence Laboratory, Shanghai, China · Nanjing University, Nanjing, China +1
ArbGraph: Conflict-Aware Evidence Arbitration for Reliable Long-Form Retrieval-Augmented Generation
Apr 20, 2026Qingying Niu, Yuhao Wang, Ruiyang Ren +2Retrieval-Augmented Generation Evidence-Grounded Generation
Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China, 100872 · Carnegie Mellon University, Pittsburgh, Pennsylvania, USA, 15213
Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research
Apr 20, 2026Nimisha Karnatak, Mohamad Chatila, Daniel Alejandro Pinzón Hernández +3Retrieval-Augmented Generation Evidence-Grounded Generation
University of Oxford · The World Bank Group · Nouswise, Inc.
The Provenance Gap in Clinical AI: Evidence-Traceable Temporal Knowledge Graphs for Rare Disease Reasoning
Apr 18, 2026Md Shamim Ahmed, Maja Dusanic, Moritz Nikolai Kirschner +4Data Provenance Healthcare
Department of Mathematics and Computer Science, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark · Universitätsmedizin Göttingen, Robert-Koch-Straße 40, 37075 Göttingen, Germany
DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI
Apr 16, 2026Zhizheng Wang, Chih-Hsuan Wei, Joey Chan +19Deep Research Agents Healthcare
Division of Intramural Research (DIR), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD 20892, USA · Hunterian Neurosurgical Laboratory, Johns Hopkins School of Medicine, Baltimore, MD 21231, USA · Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD 20892, USA +7
Are Finer Citations Always Better? Rethinking Granularity for Attributed Generation
Apr 1, 2026Hexuan Wang, Jingyu Zhang, Benjamin Van Durme +1LLM Evaluation LLM Grounding
Department of Computer Science, Johns Hopkins University
Coverage-Controlled Preference Mining from Noisy Claim Verification for Evidence-Grounded Generation
Mar 11, 2026Weixin Liu, Congning Ni, Qingyuan Song +4Claim Verification Healthcare
Vanderbilt University, Nashville, TN, USA · Vanderbilt University Medical Center, Nashville, TN, USA · Virginia Tech, Blacksburg, VA, USA
MAPLE: Medical Aspect-Based Summarization with Phrase-Level Evidence
Jan 6, 2026Bohao Chu, Hendrik Damm, Tabea M. G. Pakull +5Healthcare Text Summarization
University of Duisburg-Essen · University of Applied Sciences and Arts Dortmund · University Hospital Essen +1

Jun 18, 2026, econ.GNJ/K move · Enter open · S save

AI Economist Agent: An Agentic Framework for Evidence-Based Economic and Financial Analysis with RAG, Knowledge Graphs, and Large Language Models

Masahiro Kato

The University of Tokyo

Agentic RAG LLM Agents Evidence-Grounded Generation Finance

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We propose an AI economist agent for economic and financial scenario analysis. Scenario design often requires analysts to assess emerging risks with limited historical precedent, combine information from many sources, and translate qualitative mechanisms into internally consistent quantitative paths. Large language models (LLMs) can search and synthesize this information, but fluent narratives alone do not establish the model-based calculations needed for economic conclusions. Our framework uses LLM agents to plan the analysis, retrieve relevant evidence, and organize economic mechanisms, while registered quantitative models generate numerical outcomes and predefined tests determine whether intermediate results can be used in the final report. We apply the framework to European macro-financial stress scenarios and bank capital analysis. The empirical analysis evaluates retrieval of economic mechanisms, scenario construction, model execution, and report generation under a historical information cutoff. The results show how the AI economist agent can combine flexible evidence retrieval and scenario construction while keeping the resulting analysis linked to identifiable sources and explicit model calculations.

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