LLM Answer Verification

LLM: Large Language Model

Follow this topic Ask about this topic

Momentum

17 papers in the last four weeks, up 113% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28

Latest papers 102

All topics

EvidenceLens: A Claim-Evidence Matrix for Auditing Financial Question Answering
Jun 19, 2026Fengchen Gu, Xiaotian Ren, Zhengyong Jiang +6Data Visualization LLM Answer Verification
School of AI and Advanced Computing, XJTLU Entrepreneur College (Taicang), Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, China · ETSI de Telecomunicaci´on, Universidad Polit´ecnica de Madrid, Madrid, Spain
AgentFinVQA: A Deployable Multi-Agent Pipeline for Auditable Financial Chart QA
Jun 18, 2026Aravind Narayanan, Shaina RazaLLM Answer Verification Financial QA
Vector Institute
REVES: REvision and VErification--Augmented Training for Test-Time Scaling
Jun 17, 2026Yuanxin Liu, Ruida Zhou, Xinyan Zhao +6LLM Self-Correction LLM Answer Verification
Northwestern University · Amazon AGI · Qualcomm AI Research +1
ProvenanceGuard: Source-Aware Factuality Verification for MCP-Based LLM Agents
Jun 16, 2026Ander Alvarez, Santhiya Rajan, Samuel Mugel +1LLM Answer Verification Data Provenance
1Multiverse Computing, Parque Cientifico y Tecnol´ogico de Gipuzkoa, Paseo de Miram´on, 170, 20014 Donostia / San Sebasti´an, Spain · 2Multiverse Computing, Centre for Social Innovation, 192 Spadina Avenue Suite 509, Toronto, ON M5T 2C2, Canada · 3Donostia International Physics Center, Paseo Manuel de Lardizabal 4, E-20018 San Sebasti´an, Spain +1
Formalize Once, Edit the Rest: Efficient Lean-Based Answer Selection for Math Reasoning
Jun 14, 2026Ji Feng, Zhouxing ShiLLM Answer Verification Lean Theorem Proving
University of California, Riverside
Let LLMs Judge Each Other: Multi-Agent Peer-Reviewed Reasoning for Medical Question Answering
Jun 13, 2026Zaifu Zhan, Shuang Zhou, Rui ZhangMulti-Agent LLM Systems LLM Answer Verification
Department of Electrical and Computer Engineering, University of Minnesota, 200 Union St SE, 55455, Minneapolis, MN, United States · Division of Computational Health Sciences, Department of Surgery, University of Minnesota, 420 Delaware St SE, 55455, Minneapolis, MN, United States
Does the Judge Prefer English? Evaluating Language-Switching Invariance in LLM-as-a-Judge
Jun 12, 2026Shaojie YinMultilingual Language Model Evaluation LLM Evaluation
Shanghai Artificial Intelligence Laboratory Shanghai, China
MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning
Jun 10, 2026Abdelrahman Abdallah, AbdelRahim A. Elmadany, Sameh Al Natour +3Table QA LLM Answer Verification
University of Innsbruck · University of British Columbia · λCanada Research Chair in NLP and ML +1
Evaluating Research-Level Math Proofs via Strict Step-Level Verification
Jun 9, 2026Yifeng SunLLM Answer Verification Automated Theorem Proving
Independent Researcher
Deterministic Integrity Gates for LLM-Assisted Clinical Manuscript Preparation: An Auditable Biomedical Informatics Architecture
Jun 8, 2026Yoojin Nam, Jinhoon Jeong, Namkug KimLLM Answer Verification LLM Auditing
Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea · Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea · Aperivue, Incheon, Republic of Korea +2
Exploiting Verification-Generation Gap: Test-Time Reinforcement Learning with Confidence-Conditioned Verification
Jun 2, 2026Jiahui Li, Jianfeng Shan, Wenpei Chen +5Reinforcement Learning LLM Answer Verification
1Sun Yat-Sen University · University of Science and Technology of China · 3National University of Singapore
Diagnosing LLM Arbitration Behavior over Pre-evidence Epistemic States in RAG-based Fact-Checking
May 31, 2026Yuxi Sun, Wenbo Shang, Wei Gao +2Retrieval-Augmented Generation LLM Evaluation
Hong Kong Baptist University · Singapore Management University
AXIOM: A Trust-First Neuro-Symbolic Execution Architecture for Verifiable Mathematical Reasoning
May 30, 2026Alessio BrunoLLM Answer Verification Symbolic Reasoning
Independent researcher
FineVerify: Scaling Test-Time Compute with Fine-Grained Self-Verification for Agentic Search
May 30, 2026James Xu Zhao, Hui Chen, Bryan Hooi +1LLM Answer Verification Agentic Search
National University of Singapore
Protocol for evaluating ChatGPT in biomedical association generation and verification using a RAG-enabled, cross-model majority voting workflow
May 28, 2026Ahmed Abdeen Hamed, Luis M. RochaLLM Evaluation LLM Answer Verification
Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE 68588, USA · School of Systems Science & Industrial Engineering, Binghamton University, Binghamton, NY 13902, USA · Universidade Catόlica Portuguesa, Catόlica Biomedical Research Centre, Lisbon, Portugal
FABSVer: Faster Training and Better Self-Verification for LLM Mathematical Reasoning
May 27, 2026Haihui Pan, Junwei Bao, Hongfei Jiang +1LLM Answer Verification RL for Language Model Reasoning
Zuoyebang Education Technology
Risk-Controlled Lean-as-Judge for Natural-Language Mathematical Reasoning
May 27, 2026Pauline Bourigault, Xiaotong Ji, Matthieu Zimmer +2LLM Answer Verification Selective Prediction
Imperial College London · Huawei Noah’s Ark Lab · UCL Centre for AI
Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint)
May 26, 2026Paul Sigloch, Christoph BenzmüllerLLM Answer Verification LLM Hallucination Detection
University of Bamberg, Bamberg, Germany · Free University of Berlin, Berlin, Germany
Trust but Verify: Prover-Verifier Deliberation for Selective LLM Prediction
May 24, 2026João Sedoc, Baotong Zhang, Dean FosterLLM Answer Verification Selective Prediction
New York University
StepGap: A Hybrid NLI-LLM Checker for Step-Level Evidence-Gap Detectionin Multi-Hop Question Answering
May 23, 2026Yuelyu Ji, Zhuochun Li, Hui Ji +1Multi-Hop QA LLM Answer Verification
School of Computing and Information, University of Pittsburgh
Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning
May 15, 2026Shireen Kudukkil Manchingal, Abhey Kalia, Fernanda Gonçalves +1LLM Answer Verification Energy-Based Models
Oxford Dynamics · Harwell Science and Innovation Campus, United Kingdom
Grounded Continuation: A Linear-Time Runtime Verifier for LLM Conversations
May 13, 2026Qisong He, Jinwei Hu, Xinmiao Huang +3Belief Revision LLM Grounding
School of Computer Science & Informatics, University of Liverpool
VERDI: Single-Call Confidence Estimation for Verification-Based LLM Judges via Decomposed Inference
May 11, 2026Jasmine Qi, Danylo Dantsev, Muyang SunPost-Hoc Calibration LLM-as-a-Judge
Indeed Inc.
Verification Mirage: Mapping the Reliability Boundary of Self-Verification in Medical VQA
May 11, 2026Ruinan Jin, Beidi Zhao, Myeongkyun Kang +2VLM Evaluation Vision-Language Models
1The University of British Columbia · 2Vector Institute · 3Redmin University of China
DocScope: Benchmarking Verifiable Reasoning for Trustworthy Long-Document Understanding
May 9, 2026Xiang Feng, Jiawei Zhou, Zhangfeng Huang +6LLM Grounding LLM Answer Verification
School of Computer Science, National Engineering Research Center for Multimedia Software and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, China · Alibaba Group, Hangzhou, China · Independent Researcher +1
Logic-Regularized Verifier Elicits Reasoning from LLMs
May 7, 2026Xinyu Wang, Changzhi Sun, Lian Cheng +4LLM Evaluation LLM Answer Verification
Department of Computer Science and Technology, East China Normal University · Institute of Artificial Intelligence (TeleAI), China Telecom
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
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
AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs
Apr 24, 2026Pouya Pezeshkpour, Estevam HruschkaLLM Evaluation LLM Answer Verification
Megagon Labs
Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity
Apr 24, 2026Erez Yosef, Oron Anschel, Shunit Haviv Hakimi +4Mathematical Reasoning Benchmarks LLM Evaluation
Tel-Aviv University · Amazon Prime Video · Ben-Gurion University

Jun 19, 2026, cs.IRJ/K move · Enter open · S save

EvidenceLens: A Claim-Evidence Matrix for Auditing Financial Question Answering

Fengchen Gu, Xiaotian Ren, Zhengyong Jiang, Zhilu Zhang+5

School of AI and Advanced Computing, XJTLU Entrepreneur College (Taicang), Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, China · ETSI de Telecomunicaci´on, Universidad Polit´ecnica de Madrid, Madrid, Spain

Data Visualization LLM Answer Verification LLM Auditing Financial QA Multimodal QA Visual Analytics+1

Open paper AskPDF arXiv

Large language models are increasingly used to answer questions over annual reports, earnings decks, and analyst notes, yet their outputs remain difficult to verify in high-stakes financial workflows. A fluent answer can blend directly grounded statements, weak synthesis, and unsupported claims across narrative text, tables, and charts. We present EvidenceLens, a visual analytics prototype that treats financial question answering as a claim-evidence alignment problem. The system decomposes an answer into atomic claims, summarizes support composition and confidence, support gaps, and coordinates claim-level inspection with source passages, table cells, and chart regions. Its core visual representation is a multimodal claim-evidence matrix that makes coverage, contradiction, and modality imbalance immediately visible. To support reproducibility, we also specify a JSON-based artifact schema, a lightweight multimodal alignment pipeline, and a deterministic review-priority ranking that maps backend signals into an auditable visual structure. Through representative report-auditing scenarios, we show how EvidenceLens helps analysts distinguish grounded claims from overconfident synthesis that conventional chat interfaces flatten.

Momentum

Related topics

Latest papers 102