Key papers

• SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation (2026)
  Zhengbo Jiao et al.
  5.01
• Conceptual Networks for Cross-Linguistic Idiomatic Expressions: A Feature-Based Graph Approach (2026)
  Kiran Pala et al.
  5.01
• GRASP: GRanularity-Aware Search Policy for Agentic RAG (2026)
  Varun Gandhi et al.
  5.01
• STAMP: Provenance-Guided Credit Assignment for Deep Search Agents (2026)
  Ke Xu et al.
  5.01
• Biomedical Knowledge Graph: A Survey of Domains, Tasks, and Real-World Applications (2025)
  Yuxing Lu et al.
  4.71
• TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Construction (2026)
  Mouhamed Amine Bouchiha et al.
  4.39
• Automated Recommendation of Programming Learning Content Using Pattern-based Knowledge Components (2026)
  Muntasir Hoq et al.
  4.39
• Depression Symptoms and Relational Patterns in 187k ChatGPT Histories (2026)
  Neil K. R. Sehgal et al.
  4.39
• Akashic: A Low-Overhead LLM Inference Service with MemAttention (2026)
  Yang Liu et al.
  4.39
• Synthetic Consumer Insight Generation with Large Language Models (2026)
  Stephen L. France et al.
  4.39
• Coresets Before Score Sets: Evaluation-Unsupervised Prompt Subset Selection for LLM Benchmarks (2026)
  Jihan Yao et al.
  4.39
• Prompting-MammAlps: Fine-Grained Text-to-Video Retrieval for Camera-Trap Data (2026)
  Valentin Gabeff et al.
  4.39
• Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora (2026)
  Lars Henry Berge Olsen et al.
  4.39
• MAG: A Web-Agent Benchmark and Harness for Multimodal Action and Guide Generation (2026)
  Chengguang Gan et al.
  4.39
• UNIT: Unleash Large Language Models Potential for Graph Continual Learning (2026)
  Tairan Huang et al.
  4.39
• GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention (2026)
  Jiaxin Pan et al.
  4.39
• KGCQual: An Interpretable Framework for Evaluating the Knowledge Graph Construction Quality from Text (2026)
  Nipun Misra et al.
  4.39
• Polarization Detection: A Hybrid Approach with AfroXLMR-Social and DeBERTa for Low- and High-Resource Settings (2026)
  Muhammad Abdullahi Said
  4.39
• Structured Thoughts For Improved Reasoning And Context Pruning (2026)
  Zain Sarwar et al.
  4.39
• CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor Traps (2026)
  JungMin Yun et al.
  4.39
• MRUF: Multi-granularity Routing with Uncertainty-Aware Fusion for Robust Multimodal Sentiment Analysis (2026)
  Haoran Ma et al.
  4.39
• Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation (2026)
  Song-Ze Yu et al.
  4.39
• Embark Now: User Demand Oriented Framework for Multi-day Urban Travel Itinerary Planning (2026)
  Rongbo Qi et al.
  4.39
• A Corpus of Persuasion Techniques in Slavic Languages (2026)
  Jakub Piskorski et al.
  4.39
• To Answer or to Abstain: Mitigating Search-Agent Hallucinations via Abstention-Aware Reinforcement Learning (2026)
  Fengji Zhang et al.
  4.39
• Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization (2026)
  Fabrizio Marozzo et al.
  4.39
• The Nuts and Bolts of Natural Language to SQL Translation: A Systematic Analysis of Model Pipeline Optimisation Approaches and their Interactions (2026)
  Filip Klubicka et al.
  4.39
• ProgramTab: Boosting Table Reasoning of LLMs via Programmatic Paradigm (2026)
  Pei Guo et al.
  4.39
• OpsMem: Dual-Memory Reasoning with Cross-Memory Resonance for Failure Diagnosis (2026)
  Yongqian Sun et al.
  4.39
• Exposure-Based Reinforcement Learning to Rank (2026)
  Harrie Oosterhuis et al.
  4.39
• Sequential Learner Modeling Using Multi-Relational Graph Convolutional Networks (2026)
  Rawaa Alatrash et al.
  4.39
• Graph2Idea:Retrieval-Augmented Scientific Idea Generation with Graph-Structured Contexts (2026)
  Xu Li et al.
  4.33
• Geo-Expert: Towards Expert-Level Geological Reasoning via Parameter-Efficient Fine-Tuning (2026)
  Chenyou Guo et al.
  4.27
• mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol (2026)
  Peter W. Rose et al.
  4.27
• PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models (2026)
  Lorenzo Molfetta et al.
  3.51
• Omni-Decision: A Progressive Evidence-State Agent System for Omni-Modal QA (2026)
  Ming Ma et al.
  3.51
• Fine-Tuned Multi-Agent Framework for Detecting OCEAN in Life Narratives (2026)
  Rasiq Hussain et al.
  3.51
• MESH: Scaling Up Retrieval with Heterogeneous Content Unification (2026)
  Jiaxing Qu et al.
  3.51
• AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System (2026)
  Shubham Kumar Nigam et al.
  3.51
• SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research (2026)
  Shuofei Qiao et al.
  3.39
• SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding (2024)
  Sihang Li et al.
  2.37
• On-Device Deep Research at 4B: Exposure Bounds Faithfulness, Retrieval Bounds Coverage (2026)
  Vinay Kumar Chaganti
  2.00
• SpecX: A Large-Scale Benchmark for Multi-Modal Spectroscopy and Cross-Paradigm Evaluation (2026)
  Chengrui Xiang et al.
  1.89
• GIANTS: Generative Insight Anticipation from Scientific Literature (2026)
  Joy He-Yueya et al.
  1.83
• Generating Literature-Driven Scientific Theories at Scale (2026)
  Peter Jansen et al.
  1.67
• Not too long do read: Evaluating LLM-generated extreme scientific summaries (2025)
  Zhuoqi Lyu et al.
  1.61
• SemCSE-Multi: Multifaceted and Decodable Embeddings for Aspect-Specific and Interpretable Scientific Domain Mapping (2025)
  Marc Brinner et al.
  1.50
• SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts (2025)
  Marc Brinner and Sina Zarriess
  1.33
• MIR: Methodology Inspiration Retrieval for Scientific Research Problems (2025)
  Aniketh Garikaparthi et al.
  1.28
• Automatic Evaluation Metrics for Artificially Generated Scientific Research (2025)
  Niklas H\"opner et al.
  1.11
• Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification (2024)
  Anisha Gunjal and Greg Durrett
  0.67
• ACL-Fig: A Dataset for Scientific Figure Classification (2023)
  Zeba Karishma et al.
  —
• Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics (2023)
  Chen Zhao et al.
  —
• Teaching Specific Scientific Knowledge into Large Language Models through Additional Training (2023)
  Kan Hatakeyama-Sato et al.
  —
• Forecasting high-impact research topics via machine learning on evolving knowledge graphs (2024)
  Xuemei Gu et al.
  —
• Interesting Scientific Idea Generation using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders (2024)
  Xuemei Gu et al.
  —
• LLMs4Synthesis: Leveraging Large Language Models for Scientific Synthesis (2024)
  Hamed Babaei Giglou et al.
  —
• IdeaBench: Benchmarking Large Language Models for Research Idea Generation (2024)
  Sikun Guo et al.
  —