LLM Grounding

LLM: Large Language Model

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25 papers in the last four weeks, up 127% on the four weeks before. 0.2% of all new papers.

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Verifiable Knowledge Expansion through Retrieval-Grounded Formal Concept Analysis
Jul 2, 2026Yujin Yang, Heejung LeeKG Construction LLM Grounding
Hanyang University Seoul, Korea
EO-Agents: A Three-Agent LLM Pipeline for Earth Observation Hypothesis Generation
Jul 2, 2026Mahyar Ghazanfari, Amin Tabrizian, Armin Mehrabian +1Multi-Agent LLM Systems LLM Grounding
George Washington University, Washington, DC, USA · NASA Goddard Space Flight Center, Greenbelt, MD, USA · ADNET Systems, Inc., Bethesda, MD, USA
Grounded Optimization: A Layered Engineering Framework for Reducing LLM Hallucination in Automated Personal Document Rewriting
Jul 1, 2026Shashank Indukuri, Adarsh AgrawalLLM Grounding LLM Hallucination Mitigation
RuleChef: Grounding LLM Task Knowledge in Human-Editable Rules
Jul 1, 2026Ádám Kovács, Nadia Verdha, Gábor RecskiLLM Grounding LLM-Based Program Synthesis
KR Labs
Beyond Document Grounding: Span-Level Hallucination Detection over Code, Tool Output, and Documents
Jul 1, 2026Ádám Kovács, Bowei He, Xue Liu +3LLM Grounding Hallucination Detection
KR Labs · MBZUAI · McGill University +1
"Don't Say It!": Constraints, Compliance, and Communication when Language Models Play Taboo
Jul 1, 2026Sara Candussio, Francesca Padovani, Daniel Scalena +1LLM Grounding Language Model Generation Evaluation
AILab, MIGe, Univeristy of Trieste, Italy · Center for Language and Cognition (CLCG), University of Groningen, The Netherlands · University of Milano - Bicocca, Italy
When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors
Jun 30, 2026Yuqing Yang, Qi Zhu, Zhen Han +5LLM Evaluation LLM Grounding
University of Southern California · AWS AI Labs
Grounding LLM Reasoning under Incomplete Graph Evidence
Jun 29, 2026Jiaqi Li, Fanghui SongLLM Grounding LLM Reasoning with Graphs
Tianjin Normal University, College of Computer and Information Engineering, Tianjin, China · Harbin Institute of Technology, School of Mathematics, Harbin, China
Travel-Oriented Reasoning Large Language Model via Domain-Specific Knowledge Graphs
Jun 28, 2026Vignesh Ram Nithin Kappagantula, Shayan Hassantabar, Samuel Simpson +1LLM Grounding LLM Reasoning with Graphs
Expedia Group Seattle, Washington, USA
KrishokChat: A Citation-Grounded Dataset and Benchmark for Bengali Agricultural Advisory
Jun 28, 2026Khan Raiyan Ibne Reza, Omar Ibne ShahidLLM Grounding Question Answering
North South University Dhaka, Bangladesh
Latent Bridges for Multi-Table Question Answering
Jun 27, 2026Simone Varriale, Tamara Cucumides, Floris Geerts +1Table QA LLM Grounding
1EURECOM · University of Antwerp
Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models
Jun 25, 2026Sridhar MahadevanLLM Grounding Formal Verification
Adobe Research · University of Massachusetts, Amherst
LCAi: Life Cycle Assessment with big data fusion and retrieval-augmented generation-assisted interpretation
Jun 25, 2026Georgios Tsironis, Juan D. Medrano-Garcia, Gonzalo Guillen-GosalbezRetrieval-Augmented Generation LLM Grounding
Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir Prelog Weg 1, Zürich 8093, Switzerland · NCCR Catalysis, Zurich 8093, Switzerland
KARLA: Knowledge-base Augmented Retrieval for Language Models
Jun 25, 2026Francois Crespin, Fabian M. Suchanek, Nils HolzenbergerRetrieval-Augmented Generation LLM Grounding
IP Paris, LTCI · Télécom Paris · Institut Polytechnique de Paris, France
What the LLM Should Not Say: Boundary-Aware Context Grounding for A Seven-Channel EEG Agent
Jun 25, 2026Zhiyuan Xu, Yueqing Dai, Junling Li +1Electroencephalography LLM Grounding
Shanghai Pulse Element Intelligent Technology Co., Ltd. (NeuraDock)
How Large Language Models Source Brand Reputation Across Languages and Markets
Jun 24, 2026Dmitrij ZatuchinMultilingual Language Models LLM Grounding
Department of Information Technologies, Estonian Entrepreneurship University of Applied Sciences (EUAS), Tallinn, Estonia. · Rankfor.AI, Tallinn, Estonia.
Same Lesson, Different Story: Cross-Lingual Reconstruction of Cultural Narratives in Large Language Models
Jun 23, 2026Jory Alshaalan, Haya Albaker, Abeer Aldayel +2Multilingual Language Model Evaluation LLM Grounding
College of Computer and Information Sciences King Saud University, Saudi Arabia
AGORA: An Archive-Grounded Benchmark for Agentic Workplace Document Reasoning
Jun 23, 2026Honglin Guo, Qi Zhang, Yu Zhang +7LLM Grounding Document QA
Fudan University · Zhejiang University · Shanghai Qiji Zhifeng Co., Ltd.
DeepDiscovery: A Location-Inference Framework for Task-Level Repository Understanding
Jun 22, 2026Jiawei He, Weisong Sun, Mengyu Shi +4LLM Grounding Software Engineering Agents
AMAP, Alibaba Group · Nanyang Technological University · Nanjing University +1
GroundEval: A Deterministic Replacement for LLM-as-Judge in Stateful Agent Evaluation
Jun 22, 2026Jeffrey FlyntAI Agent Reliability Tool-Use Evaluation
Independent Researcher
Knowledge-Graph Grounding Helps LLMs Only for Out-of-Training Knowledge: A Controlled Study on Clinical Question Answering
Jun 21, 2026Madhulatha Mandarapu, Sandeep KunkunuruLLM Grounding LLM Reasoning with Graphs
samyama
Beyond Hooking Onto the World: Referential Profiles and the Numerical Structure of LLM Grounding
Jun 19, 2026Joo Yull RheeLLM Grounding
Department of Physics, Sungkyunkwan University, Suwon, Republic of Korea.
GRAG: Generic Response-Augmented Generation Framework for Personalized Conversational Systems
Jun 19, 2026Junfeng Liu, Christopher T. Symons, Ranga Raju VatsavaiLLM Grounding LLM Personalization
North Carolina State University · Raleigh, NC, USA · Lirio, Inc. +1
The Token Tax of Epistemic Accuracy: Comparing RAG and Long-Context Architectures for Document-Grounded Generative AI Applications
Jun 18, 2026Austin Hamilton, Ryan Singh, Michael Wise +6LLM Grounding LLM Inference
Miami University · University at Buffalo
Decoupling Search from Reasoning: A Vendor-Agnostic Grounding Architecture for LLM Agents
Jun 17, 2026Emmanuel Aboah Boateng, Kyle MacDonald, Amardeep Kumar +2LLM Grounding Tool-Augmented Language Model Agents
DoorDash, Inc.
The Wrong Kind of Right: Quantifying and Localizing Misfired Alignment in LLMs
Jun 17, 2026Naihao Deng, Yiming Feng, Chimaobi Okite +4LLM Grounding LLM Alignment
University of Michigan · University of Cambridge · University of Aberdeen
DiagFlowBench: Evaluating How Language Models Handle Off-Procedure Inputs in Grounded Diagnostic Dialogue
Jun 16, 2026Guillermo Gil de Avalle, Laura Maruster, Shaina Raza +1LLM Evaluation LLM Grounding
University of Groningen, PO Box 72, 9700 AB Groningen, The Netherlands · Vector Institute for Artificial Intelligence, MaRS Centre, Toronto, ON, Canada
Consensus-based Agentic Large Language Model Framework for Harmonized Tariff Schedule Code Classification
Jun 15, 2026Truong Thanh Hung Nguyen, Khanh Van Quynh Nguyen, Hoang-Loc Cao +5Hierarchical Classification Multi-Agent LLM Systems
Analytics Everywhere Lab, University of New Brunswick, Canada · University of Economics Ho Chi Minh City, Vietnam
ACCORD: Action-Conditioned Contextual Grounding for Language Agents
Jun 15, 2026Lai Jiang, Cheng Qian, Zhenhailong Wang +3LLM Grounding Tool-Augmented Language Model Agents
University of Illinois Urbana-Champaign · Stanford University
GRACE: Step-Level Benchmark for Faithful Reasoning over Context
Jun 15, 2026Hoang Pham, Dong Le, Anh Tuan LuuCoT Faithfulness Contextual Faithfulness
Nanyang Technological University · VinUniversity

Jul 2, 2026, cs.AIJ/K move · Enter open · S save

Verifiable Knowledge Expansion through Retrieval-Grounded Formal Concept Analysis

Yujin Yang, Heejung Lee

Hanyang University Seoul, Korea

KG Construction LLM Grounding Knowledge Representation Formal Concept Analysis Ontology Learning

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Ontology construction requires deciding which objects, attributes, and structural relations should be accepted as valid knowledge. Language models can propose such structures from text, but their outputs can still be unsupported or inconsistent. This paper proposes a retrieval-augmented small language model (SLM) framework that uses formal concept analysis (FCA) as a symbolic verification loop for knowledge expansion. Starting from seed attributes, FCA proposes implications over a growing formal context. A retrieval-grounded SLM oracle then validates each implication or returns a counterexample. The oracle also supports incidence judgments, consistency checks, and attribute proposals, making accepted implications, counterexamples, contradictions, and corrections inspectable. In a rare ataxia setting constructed from Orphadata resources, retrieval-grounded 10-seed runs obtain relation F1 of 0.29-0.52 and closure-based implication F1 of 0.22-0.30. Larger seed sets increase the number of evaluated implications and often improve implication F1. The lower implication scores reflect a stricter evaluation of derived implications, where one missed or extra relation can affect several implication judgments. Ablations show that incidence judgments in a fixed object-attribute setting can improve closure-based implication scores. However, identifying positive object-attribute pairs remains difficult even when the candidate objects and attributes are fixed.

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