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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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Use the summary to find relevant work, then read the original paper. Compare the method, evaluation setting, baselines and limitations with your own problem. Check whether code and datasets are available; a reported benchmark result may not transfer to your use case.

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  1. Delegation Without Trust: An Empirical Gap Analysis of Identity, Authorization, and Runtime Governance in Multi-Agent LLM Systems taaft Autonomous LLM agents increasingly act on a user's behalf: they hold credentials, call tools and se… 2026-08-31 published
  2. Demand-Side Measurement for Generative Engine Optimization: Constructing and Validating a Million-Persona, Intent-Annotated Buyer Corpus taaft Generative engines such as ChatGPT, Gemini, and Perplexity answer buyer questions directly and name… 2026-08-30 published
  3. Democratizing Reasoning Ability: Tailored Learning from Large Language Model taaft Large language models (LLMs) exhibit impressive emergent abilities in natural language processing,… 2023-10-20 published
  4. Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion taaft Diffusion models are increasingly used not only for sampling from learned data distributions, but a… 2026-08-30 published
  5. Denoising Diffusion Probabilistic Models Impossible Research We present high quality image synthesis results using diffusion probabilistic models, a class of la… 2020-06-19 published
  6. Denoising-Aware Temporal Point Cloud Completion for 3D Crop Architecture Recovery and Phenotypic Trait Extraction taaft High-throughput phenotyping depends on accurate 3D reconstruction of plants across growth stages, y… 2026-08-28 published
  7. DensityKV: Density-Guided KV Cache Compression for Long Video Generation taaft Autoregressive video diffusion models enable streaming generation through sliding-window attention,… 2026-08-28 published
  8. Deploying and Evaluating a Smart-Agriculture Agentic Engine for Full-Season Soybean Farm Operations taaft This paper presents FAIRY, a full-stack smart-agriculture agent system developed for and deployed t… 2026-08-31 published
  9. Deploying DeepSeek 175B Locally on a Single Consumer-Grade RTX 4060 Laptop with 32GB RAM for 200k-Scale Protein-Ligand Virtual Screening taaft Recent advances in large language models (LLMs) have demonstrated exceptional performance in protei… 2026-08-31 published
  10. DERELAB: Probing Defeasible Reasoning and Confirmation Bias in LLMs with a Generative Benchmark taaft Defeasible reasoning is a type of reasoning where inferences are drawn from plausible current evide… 2026-08-31 published
  11. Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and Loss taaft We study the scaling behavior of learning rate and batch size in pretraining dense large language m… 2026-08-28 published
  12. DESA-TTA: Dynamic EMA and Source Anchoring for Test-Time Adaptation taaft Vision-language object detectors (VLODs) achieve strong zero-shot performance but remain vulnerable… 2026-09-01 published
  13. Design and Empirical Characterization of a Hardware-Realized Turing Machine with Automated Card-Based Programming taaft Physical implementations of Turing Machines remain rare, and existing electromechanical demonstrato… 2026-08-25 published
  14. Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool taaft Machine-learning performance modeling is a uniquely hostile terrain for long-lived software: the as… 2026-09-04 published
  15. Designing an Auditable LLM-Supported Workflow for Qualitative Thematic Analysis taaft Large Language Models (LLMs) offer new possibilities for scaling qualitative analysis, but existing… 2026-08-31 published
  16. Designing for the Next Click: Bandits for Real-Time Page Layout taaft E-commerce platforms increasingly personalize user experiences through machine learning, yet page l… 2026-08-30 published
  17. Designing Proactive Thought Partners for Writing taaft Writing involves diverse cognitive activities, from ideation to revision, and writers' needs vary a… 2026-09-01 published
  18. Designing Versatile Samples for Learned Trajectory Scoring taaft Many current end-to-end driving policies emit a pool of candidate trajectories and select one, whic… 2026-09-01 published
  19. DeSyR: A Decoupled Symbolic Recovery Framework with PINN-Guided Structure Search and Physics-Informed Coefficient Refinement taaft Recovering compact explicit solutions from neural approximations is challenging when imperfect teac… 2026-09-01 published
  20. Detecting and Preventing Hallucinations in Large Vision Language Models taaft Instruction tuned Large Vision Language Models (LVLMs) have significantly advanced in generalizing… 2023-08-11 published
  21. Detecting Hidden Chain-of-Thought in Large Language Models with Linguistic, Behavioral, and Mechanistic Indicators taaft Large language models often answer complex reasoning questions without revealing intermediate steps… 2026-08-30 published
  22. Detecting Object Hallucinations in Large Vision-Language Models via Cross-Modal Attention Drifts and Mask-Based Verification taaft Despite recent advances in large vision-language models (LVLMs), object hallucination remains a maj… 2026-09-02 published
  23. Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain taaft Multimodal large language models (MLLMs) have shown strong potential for medical Visual Question An… 2026-03-23 published
  24. Detoxifying Toxic Communication: A Design Science Approach to Responsible AI taaft Toxic language in digital workplaces such as pejoratives, sarcasm, condescension, and subtle incivi… 2026-08-31 published
  25. DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection taaft Multi-Modal LLMs (MLLMs) demonstrate strong visual grounding capabilities on popular object detecti… 2026-03-24 published
  26. Developments in Artificial Intelligence markets: New indicators based on model characteristics, prices and providers taaft This paper provides new empirical evidence on AI market dynamics by analyzing generative AI model c… taaft
  27. DexJoCo: A Benchmark and Toolkit for Task-Oriented Dexterous Manipulation on MuJoCo taaft Achieving human-level manipulation requires dexterous robotic hands capable of complex object inter… 2026-05-15 published
  28. DGNet: Dual-knowledge Guided Network for Infrared Small Target Detection taaft InfRared Small Target Detection (IRSTD) is a prominent and challenging task in computer vision. In… 2026-09-01 published
  29. DiagEvo: Diagnosis-Guided Self-Evolution via Hierarchical Error Memory taaft Self-play is an effective paradigm for language-model self-evolution, but without guidance, solver… 2026-09-01 published
  30. Diagnosing Compositional Generalization in Sequential Robot Tasks taaft Sequential robot manipulation requires policies to execute novel combinations of familiar instructi… 2026-07-31 published
  31. Diagnosing with Insights: Structured Analysis of Agent Failures via Behavioral Abstractions taaft With the proliferation of LLM agents, the ability to understand and diagnose failures in agents is… 2026-09-02 published
  32. Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents taaft Human-like chatbots necessitate the use of commonsense reasoning in order to effectively comprehend… 2023-10-13 published
  33. DICS: Exploring Data Intrinsic Consistency for Visual Instruction Selection taaft Visual instruction tuning is crucial for advancing the vision-language alignment and instruction-fo… 2026-08-31 published
  34. Difference-in-Differences on a Censored Rating Scale Can Manufacture an Effect: Evidence from a Pre-Registered LLM-Judge Audit taaft Audits of LLM judges certify a bias by contrasting matched conditions, and the strongest designs di… 2026-08-27 published
  35. Differentiable Electricity-Market Clearing for Gradient-Based Planning taaft Planning a large data center is difficult because a facility big enough to matter changes the elect… 2026-09-02 published
  36. Differentiable Jitter Correction using Deep Learning-based Image Quality Metric for Phase-Contrast Micro-CT taaft This paper proposes a fully differentiable jitter correction method for X-ray phase-contrast micro… 2026-08-27 published