TechniqueRLHF / Alignment7 recent entries14 Apr 2026Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented GenerationarXiv:2510.15552v3 Announce Type: replace-cross Abstract: Large language models (LLMs) still struggle with multi-hop reasoning over knowledge-graphs (KGs), and we identify a previously overlooked stru→3 Jun 2026The Violation Situation Pattern: A Knowledge-Graph Pattern for Compliance ViolationsarXiv:2606.03326v1 Announce Type: new Abstract: Compliance pipelines detect violations as transient query results and do not keep the violation itself as a persistent graph object with review state, a
TechniqueRAG8 recent entries2 Sept 2026ExpArt-KG: Artwork Image Description Generation through Iterative Exploration of Knowledge GraphsarXiv:2609.00629v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) achieve strong performance on image-grounded text generation and visual question answering. However, it remains dif→3 Sept 2026Ranked by the Matcher: A Reproducibility Audit of Knowledge Graph Extraction from Threat ReportsarXiv:2609.01671v1 Announce Type: cross Abstract: Security teams and researchers choose knowledge-graph extraction tooling for threat reports on the strength of published triple-F1 scores, yet those s→3 Sept 2026Improving Health Literacy through Lay Summarization of Radiological Reports: An Evaluation of BioNER and Retrieval-Augmented GenerationarXiv:2609.02396v1 Announce Type: new Abstract: Radiology reports are written primarily for clinicians, and their specialized terminology often makes them difficult for patients to interpret. As a res→10 Sept 2026The Answer Path and the Grounding Instruction in LLM Question Answering over Knowledge GraphsarXiv:2609.10237v1 Announce Type: new Abstract: A graph retrieval-augmented generation pipeline chooses which triples to put in the prompt, a syntax to write them in, an order to write them in, and a →17 Sept 2026Quanta: A Self-Contained Python Library for Hybrid Retrieval over Quantised Embeddings, Lexical Indexes, and Knowledge GraphsarXiv:2609.18248v1 Announce Type: cross Abstract: An advanced retrieval-augmented generation pipeline is typically assembled from three or four independently operated systems: an approximate nearest-n→17 Sept 2026Knowledge-Graph Based Augmentation versus Retrieval Augmented Generation for Cultural-Related Question AnsweringarXiv:2609.18317v1 Announce Type: cross Abstract: Large language models (LLMs) suffer from a long-tail deficit: culturally specific facts, particularly those concerning underrepresented regions such a→29 Sept 2026When Does Structured Knowledge Help Neural Theorem Proving?arXiv:2609.34460v1 Announce Type: cross Abstract: Does structured mathematical knowledge help LLMs prove theorems in Lean 4? If so, for which models, and does the answer vary by problem? Formal librar→7 Oct 2026Tool-calling retrieval versus vector RAG for a small Greek--English knowledge base: accuracy and robustness to how users type GreekarXiv:2610.08205v1 Announce Type: cross Abstract: Assistants grounded in a small, frequently edited knowledge base can retrieve through tool calls to a live data interface or through vector retrieval-
TechniqueAgents8 recent entries6 Aug 2026Eigenius: A Typed Knowledge-Graph DBMS with Epistemic Stratification and Institution-Mediated ReasoningarXiv:2608.04457v1 Announce Type: cross Abstract: As 'AI Scientists' emerge to drive research via the Model Context Protocol (MCP), systems relying on ephemeral scripts will fail. The sheer scale of s→11 Aug 2026Towards Researcher Agents for Knowledge-Graph Question AnsweringarXiv:2608.07700v1 Announce Type: new Abstract: Translating a natural-language question into a SPARQL query that can be executed against a large knowledge graph requires resolving lexical ambiguity, g→17 Aug 2026Decoding Student Minds: Leveraging Conversational Agents for Psychological and Learning AnalysisarXiv:2512.10441v2 Announce Type: replace Abstract: This paper presents a psychologically-aware conversational agent designed to enhance both learning performance and emotional well-being in education→18 Aug 2026The Authority Resolution Framework: A Five-Domain Ontology for Governing Who and What Decides, at ScalearXiv:2608.15832v1 Announce Type: new Abstract: As AI systems become increasingly capable of autonomous action, determining whether an agent is technically capable of performing an action is insuffici→18 Aug 2026Quipu: A Governed Bitemporal Knowledge Graph StorearXiv:2608.16813v1 Announce Type: new Abstract: Agents now write knowledge graphs, but knowledge-graph stores still carry defaults set when humans curated them: accept writes now and clean later, keep→19 Aug 2026ZepZep offers a knowledge graph for persistent user memory and shared organisational context through MCP, according to Zep.→15 Sept 2026Natural Language Knowledge Graph Query Execution: Leveraging Controlled Semantics in the LLM Context WindowarXiv:2609.14652v1 Announce Type: cross Abstract: Large Language Model (LLM) applications often transfer domain concepts into the model's context informally, through prompt prose, schema dumps, and ex→7 Oct 2026Tool-calling retrieval versus vector RAG for a small Greek--English knowledge base: accuracy and robustness to how users type GreekarXiv:2610.08205v1 Announce Type: cross Abstract: Assistants grounded in a small, frequently edited knowledge base can retrieve through tool calls to a live data interface or through vector retrieval-
TechniqueFine-tuning7 recent entries15 Apr 2026Modeling Co-Pilots for Text-to-Model TranslationarXiv:2604.12955v1 Announce Type: new Abstract: There is growing interest in leveraging large language models (LLMs) for text-to-model translation and optimization tasks. This paper aims to advance th→25 May 2026Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement LearningarXiv:2509.26383v5 Announce Type: replace-cross Abstract: Knowledge-graph retrieval-augmented generation (KG-RAG) couples large language models (LLMs) with structured, verifiable knowledge graphs (KGs→14 Aug 2026HybridRAG-BN: A Retrieval-Augmented Framework with Fine-Tuned Verification for Bangla KBQAarXiv:2608.13004v1 Announce Type: new Abstract: Knowledge-base question answering (KBQA) systems rely on effective retrieval and reasoning mechanisms to generate accurate answers from external knowled→3 Sept 2026Improving Health Literacy through Lay Summarization of Radiological Reports: An Evaluation of BioNER and Retrieval-Augmented GenerationarXiv:2609.02396v1 Announce Type: new Abstract: Radiology reports are written primarily for clinicians, and their specialized terminology often makes them difficult for patients to interpret. As a res→17 Sept 2026Knowledge-Graph Based Augmentation versus Retrieval Augmented Generation for Cultural-Related Question AnsweringarXiv:2609.18317v1 Announce Type: cross Abstract: Large language models (LLMs) suffer from a long-tail deficit: culturally specific facts, particularly those concerning underrepresented regions such a→29 Sept 2026When Does Structured Knowledge Help Neural Theorem Proving?arXiv:2609.34460v1 Announce Type: cross Abstract: Does structured mathematical knowledge help LLMs prove theorems in Lean 4? If so, for which models, and does the answer vary by problem? Formal librar→6 Oct 2026ColdDDI: Evaluating Knowledge Utilization in Cold-Start Drug-Drug Interaction PredictionarXiv:2610.05590v1 Announce Type: new Abstract: Cold-start drug-drug interaction (DDI) prediction tests whether models can identify clinically significant interactions for drugs without training-time
TechniqueMultimodal8 recent entries3 Jul 2026MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction PredictionarXiv:2607.01627v1 Announce Type: cross Abstract: Accurate protein-protein interaction (PPI) prediction is central to functional genomics, disease mechanism discovery, and drug development. A difficul→24 Jul 2026Multimodal CoLRAG-TF: Triple-Filtered Retrieval for Complex PDFsarXiv:2607.20517v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) over heterogeneous PDF collections remains challenging due to multimodal content, domain-specific terminology, and →14 Aug 2026EGRL: Edge generation-guided relation-aware learning for RNA-protein interaction predictionarXiv:2608.12906v1 Announce Type: cross Abstract: RNA-Protein Interactions (RPIs) are critical for regulating cellular functions. While traditional wet-lab experiments for RPI detection are costly and→17 Aug 2026Decoding Student Minds: Leveraging Conversational Agents for Psychological and Learning AnalysisarXiv:2512.10441v2 Announce Type: replace Abstract: This paper presents a psychologically-aware conversational agent designed to enhance both learning performance and emotional well-being in education→18 Aug 2026LUNG-KGMM: Knowledge-Guided Multimodal Learning for Lung Cancer Incidence PredictionarXiv:2608.14657v1 Announce Type: cross Abstract: Early identification of lung cancer risk is critical for timely intervention, yet existing prediction models are limited by their reliance on single d→18 Aug 2026GraphLoom: Reliability-Calibrated Graph Evidence Routing for Multimodal KG-RAGarXiv:2608.15056v1 Announce Type: new Abstract: Multimodal retrieval-augmented generation (RAG) systems often rely on long unstructured contexts or aggressively expanded evidence graphs, which can int→2 Sept 2026ExpArt-KG: Artwork Image Description Generation through Iterative Exploration of Knowledge GraphsarXiv:2609.00629v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) achieve strong performance on image-grounded text generation and visual question answering. However, it remains dif→11 Sept 2026Think Before You Link: Rarity, Reasoning, and Retrieval in Multilingual Entity LinkingarXiv:2609.10745v1 Announce Type: new Abstract: Multimodal entity linking grounds entity mentions in text and images to knowledge-base entries. These systems degrade on rare entities, but prior work m
TechniqueSafety8 recent entries26 May 2026From Multi-Agent Systems and the Semantic Web to Agentic AI: A Unified Narrative of the Web of AgentsarXiv:2507.10644v4 Announce Type: replace Abstract: The Web of Agents (WoA) transforms the document-centric Web into an environment of autonomous agents acting on users' behalf, a vision newly tractab→29 Jun 2026DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online ForumsarXiv:2606.27619v1 Announce Type: new Abstract: Dyslexic learners increasingly use artificial intelligence (AI) tools to support reading, writing, organisation, and study-related tasks. However, their→3 Jul 2026Object Aligner: A Configurable JSON Schema Similarity Score for Graphs, Applied to LLM Prompt OptimizationarXiv:2607.01972v1 Announce Type: cross Abstract: Large language models (LLMs) are often asked to produce JSON conforming to a fixed schema, powering information extraction, tool calling, agentic plan→28 Jul 2026Neuro-Symbolic Meta-Policies for Temporal Knowledge-Graph Memory under Partial ObservabilityarXiv:2607.18368v2 Announce Type: replace Abstract: Partially observable reinforcement learning requires deciding what to retain, retrieve, and forget over time. We introduce a neuro-symbolic meta-pol→29 Jul 2026When Thinking Before Retrieval Hurts: TraceBound Diagnostics for Adaptive Knowledge-Graph RetrievalarXiv:2607.24800v1 Announce Type: cross Abstract: Adaptive retrieval promises to make knowledge-graph question answering more robust by letting a controller search, inspect neighborhoods, revise actio→24 Aug 2026MedRAGChecker: Claim-Level Verification for Biomedical Retrieval-Augmented GenerationarXiv:2601.06519v2 Announce Type: replace Abstract: Biomedical retrieval-augmented generation (RAG) can ground LLM answers in medical literature, yet long-form outputs often contain isolated unsupport→25 Aug 2026GeoRisk-RAG: A Hierarchy-Aware Risk Framework for Improving RAG Reliability through Selective AnsweringarXiv:2608.22634v1 Announce Type: cross Abstract: Current work on improving reliability in large language model (LLM)- generated answers has primarily leveraged Retrieval-Augmented Generation (RAG), k→29 Sept 2026Role Support in Knowledge-Graph Error Ranking: Predictor Regimes and Evaluation PoliciesarXiv:2512.22318v3 Announce Type: replace Abstract: When do role-specific training counts improve knowledge-graph error ranking? We evaluate fifteen from-scratch predictors, nine development-selected