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Browse AI research papers and methods. Search paper profiles, read recorded summaries and follow source links for the full research.

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  1. LISynSeg: Data-Centric Label-to-Image Synthesis for Cross-Modality Whole-Heart Segmentation taaft Whole-heart segmentation (WHS) in computed tomography (CT) and magnetic resonance imaging (MRI) is… 2026-08-31 published
  2. LitCurate: A Configuration-Driven AI-Assisted Framework for Scientific Database Construction with an Application to Lower-Mantle Equation-of-State Data taaft The growing scientific literature contains decades of experimental and computational results that c… 2026-08-27 published
  3. LivingRAG: Augmenting Graph RAG with Experience taaft Graph-based RAG improves multi-hop question answering by organizing evidence as a knowledge graph.… 2026-08-26 published
  4. LJ-Bench: Ontology-Based Benchmark for U.S. Crime Amazon The potential of Large Language Models (LLMs) to provide harmful information remains a significant… 2026-03-21 published
  5. LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes taaft We introduce LLaDA-Image, a unified framework that pairs a 6B Diffusion Transformer (DiT) trained f… 2026-09-03 published
  6. Llama 2: Open Foundation and Fine-Tuned Chat Models Meta Platforms In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large langu… 2023-07-18 published
  7. LLaMA: Open and Efficient Foundation Language Models Meta Platforms We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. W… 2023-02-27 published
  8. LLM As DBA taaft Database administrators (DBAs) play a crucial role in managing, maintaining and optimizing a databa… 2023-08-10 published
  9. LLM Judges as Raters: A Pre-Registered Audit of Severity, Halo, Reliability, and Version Instability in LLM Essay Scoring on Public Corpora taaft Large language models (LLMs) are increasingly used as essay graders in learning analytics, evaluate… 2026-08-30 published
  10. LLM-as-a-Judge Is Not an Oracle: Why Self-Improving Agents Need Deterministic Guardrails taaft Self-improving agent pipelines have a problem at their center. An optimizer rewrites prompts to sco… 2026-09-02 published
  11. LLM-Assisted Behavioural and Scenario Augmentation for Agent-Based Energy Adoption Models taaft Recent advances in large language models (LLMs) create opportunities to enrich simulation-based ene… 2026-09-04 published
  12. LLM-Based Knowledge Graph Completion Combining Discrete Structural Coding with Similar Entity Information taaft Knowledge graph completion requires models to use both textual descriptions and relational structur… 2026-08-31 published
  13. LLM-Driven Algorithm Design for Quantum Circuit Synthesis based on Binary Decision Diagrams taaft Quantum circuits are central to implementing quantum algorithms on quantum devices, where quantum g… 2026-09-04 published
  14. LLM-Driven Joint Evolution of Coupled Heuristics Components for Routing Optimization taaft Heuristic design for combinatorial optimization remains heavily reliant on expert knowledge, while… 2026-09-02 published
  15. LLM-Enhanced Data Management taaft Machine learning (ML) techniques for optimizing data management problems have been extensively stud… 2024-02-04 published
  16. LLM-Guided Contextual Action Evaluation for Operational Decisions in Industrial Processes taaft Industrial actor--critic methods usually represent continuous actions as anonymous numerical coordi… 2026-08-25 published
  17. LLMClean: Context-Aware Tabular Data Cleaning via LLM-Generated OFDs taaft Machine learning's influence is expanding rapidly, now integral to decision-making processes from c… 2024-04-29 published
  18. LLMODE: Aligning ODEs with LLMs via Gated Token Injection for Irregular Spatio-Temporal Forecasting taaft Large language models (LLMs) have shown promise for spatio-temporal forecasting, but existing appro… 2026-08-30 published
  19. LLMPEDIA: Browsing, Verifying, and Comparing the Parametric Encyclopedic Knowledge of LLMs taaft Flagship language models appear saturated on benchmarks like MMLU (Hendrycks et al., 2021), scoring… 2026-09-01 published
  20. LLMs Interpret, Embeddings Organize, Graphs Emerge: Agent-Driven Compilation of Scientific Knowledge taaft Sustained scientific work requires a knowledge substrate that carries interpretation across tasks a… 2026-08-30 published
  21. LLMs Learn Better In-Context from Rules than from Examples taaft Large language models (LLMs) exhibit in-context learning capabilities, where they can learn new tas… 2026-09-02 published
  22. LLMs Meet Long Video: Advancing Long Video Question Answering with An Interactive Visual Adapter in LLMs taaft Long video understanding is a significant and ongoing challenge in the intersection of multimedia a… 2024-02-21 published
  23. LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing taaft Data processing is one of the fundamental steps in machine learning pipelines to ensure data qualit… 2023-12-26 published
  24. LLMscope: Extracting LLM Assets from Edge AI Chips via Optical Probing taaft The move of LLM inference to edge AI accelerators introduces new physical vulnerabilities. During e… 2026-08-26 published
  25. LM-X: Explainable Action Modeling with Progress, Event, and Uncertainty Prediction for Generalist Robot Manipulation taaft Large-scale vision--language--action (VLA) policies have advanced generalist robot control, yet mos… 2026-08-26 published
  26. LMSM: LLM Security Framework Inspired by Linux Security Modules taaft Large language models (LLMs) are increasingly deployed with layered defenses, yet malicious prompts… 2026-08-26 published
  27. Load-Bearing Context: The Question Damage Score for Evaluating Context Reliance in Linguistic Reasoning taaft Determining whether large language models derive answers from context or prior knowledge remains a… 2026-08-27 published
  28. Local Reference Geometry Residual Augmentation for Imbalanced Time Series Classification taaft Imbalanced time series classification is often addressed by changing the training distribution, obj… 2026-08-31 published
  29. Local Updates, Global Learning (LUGL): Playing Games with non-incremental Learners taaft The dominance of Neural Networks (NNs) in RL is partially due to their incremental learning capabil… 2026-09-03 published
  30. Localize-Then-Decide Guarantees for LLM Judgments taaft Large language models (LLMs) are increasingly used as evaluators to assess output quality and prefe… 2026-08-26 published
  31. Localizing Global Discrepancies: Marginal Contributions and Contextual Anomaly Detection taaft Global goodness-of-fit and discrepancy statistics can establish that a sample departs from a refere… 2026-08-28 published
  32. Locate Anything in Videos: Rethinking Efficient Generative Spatio-Temporal Video Grounding taaft Spatio-temporal video grounding (STVG) requires models to identify when a referred event occurs and… 2026-08-28 published
  33. LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding taaft Vision-language models (VLMs) commonly formulate visual grounding and detection as a coordinate-tok… 2026-05-26 published
  34. Locating and Steering Refusal Beyond Attention taaft Where inside a language model does refusal live, and does that place change when the architecture d… 2026-09-04 published
  35. LoFi RADIO: A Distilled In-Domain Backbone Applied for Artifact-Severity Grading of Ultra-Low-Field Neonatal Brain MR taaft Ultra-low-field MRI makes neonatal brain imaging deploy- able in low-resource settings, but its low… 2026-09-02 published
  36. LoGo: Token-Level Dynamic Local-Global Attention taaft As context lengths scale, attention increasingly becomes a primary computational bottleneck in larg… 2026-08-30 published