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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. Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models taaft To address the challenges associated with data processing at scale, we propose Dataverse, a unified… 2024-03-28 published
  2. Daydreaming: Stealing Hidden Agent Skills through Black-Box Task Interaction taaft Agent skills bundle instructions, reference data, and executable helpers that let a general agent p… 2026-08-27 published
  3. DCARL: A Divide-and-Conquer Framework for Autoregressive Long-Trajectory Video Generation taaft Long-trajectory video generation is a crucial yet challenging task for world modeling primarily due… 2026-03-25 published
  4. DCEO: Direct Causal Effect Optimization for Long-Term User Value Modeling in E-commerce Search taaft Industrial e-commerce search systems ultimately aim to optimize the user-level long-term objective,… 2026-08-26 published
  5. DCFA: Dual-view Causal-inspired Attribution for Failure Reasoning in LLM-based Multi-agent Systems taaft Large language model (LLM)-based multi-agent systems have experienced rapid growth in recent years.… 2026-09-04 published
  6. DCGC: Draft-Conditioned Global Correction for Complex Reasoning with Masked Diffusion Models taaft Correcting flawed reasoning traces remains a significant challenge for Large Language Models (LLMs)… 2026-08-26 published
  7. DCR-CONSISTENCY: DIVIDE-CONQUER-REASONING FOR CONSISTENCY EVALUATION AND IMPROVEMENT OF LARGE LANGUAGE MODELS Intuit Evaluating the quality and variability of text generated by Large Language Models (LLMs) poses a si… 2024-01-04 published
  8. DE-Venus: A Data-Efficient RLVR Framework for Large Language Models taaft Reinforcement learning with verifiable rewards (RLVR) improves large language model reasoning, but… 2026-09-03 published
  9. DEBAGREEMENT: A comment-reply dataset for (dis)agreement detection in online debates Scale AI DEBAGREEMENT is a dataset of 42,894 comment-reply pairs from Reddit across five debate-heavy subred… Scale AI
  10. Debias-SparseGPT: Bias-Aware Pruning for Large Language Models taaft Model compression techniques such as pruning and quantization facilitate the efficient deployment a… 2026-09-02 published
  11. Dec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization taaft We study decentralized online optimization of upper-linearizable payoffs over an action set under e… 2026-08-31 published
  12. Decentralized Multitask Learning over Learned Task Graphs taaft This paper investigates decentralized multitask learning over networks when the underlying task rel… 2026-08-27 published
  13. Decision-Aware Approximation of Belief Functions for Evidential Combinatorial Optimization taaft Reducing the number of focal elements of a mass function is classically driven by an intrinsic dist… 2026-08-11 published
  14. Decision-Making Context Interaction Network for Click-Through Rate Prediction Meituan Click-through rate (CTR) prediction is crucial in recommendation and online advertising systems. Ex… 2023-01-29 published
  15. Decoupled I/O-Dominant Pipelines for Large-Scale Whole-Slide Image Embedding Extraction taaft Whole-slide images (WSIs) are central to computational pathology but are prohibitively large, makin… 2026-08-27 published
  16. Deduplicating Training Data Makes Language Models Better taaft We find that existing language modeling datasets contain many near-duplicate examples and long repe… 2021-07-14 published
  17. Deep Attention-based Sequential Ensemble Learning for BLE-Based Indoor Localization in Care Facilities taaft Indoor localization systems in care facilities enable optimization of staff allocation, workload ma… 2026-03-22 published
  18. Deep Industrial Image Anomaly Detection: A Survey taaft Reviews and implements deep generative models (VAEs, GANs) for pixel-level defect detection in indu… taaft
  19. Deep Microcompression: Structured Pruning and Bit-packed Quantization for Microcontrollers taaft This paper introduces Deep Microcompression (DMC), a hardware-aware pipeline for deep learning infe… 2026-09-04 published
  20. Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-objective Optimization taaft Constrained multi-objective optimization problems (CMOPs) are of great significance in the context… 2026-03-17 published
  21. Deep Residual Learning for Image Recognition Microsoft Deeper neural networks are more difficult to train. We present a residual learning framework to eas… 2015-12-10 published
  22. Deep Sets Amazon We study the problem of designing models for machine learning tasks defined on \emph{sets}. In cont… 2017-03-10 published
  23. DeepAffinity: Long-Term Aspect Preference Prediction in eCommerce using Small Language Models taaft We explore predicting eCommerce user preferences for product aspects such as brand, size, and color… 2026-09-02 published
  24. DeepAlgebra - an outline of a program taaft We outline a program in the area of formalization of mathematics to automate theorem proving in alg… 2016-10-04 published
  25. DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks Amazon Probabilistic forecasting, i.e. estimating the probability distribution of a time series' future gi… 2017-04-13 published
  26. Deeply Interleaved Text-Image Contexts for Multimodal LLMs Assessment taaft Current evaluations and training of multimodal models predominantly focus on multi-image tasks, lar… 2026-09-02 published
  27. DeepRepoQA: Code Repository Question Answering with Deep Agent Exploration taaft Answering developer questions about a software repository is a critical yet under-explored problem… 2026-08-25 published
  28. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation taaft Computer graphics, 3D computer vision and robotics communities have produced multiple approaches to… 2019-01-16 published
  29. DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence taaft The rapid development of large language models has revolutionized code intelligence in software dev… 2024-01-25 published
  30. DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data taaft Proof assistants like Lean have revolutionized mathematical proof verification, ensuring high accur… 2024-05-23 published
  31. Defending the Peg: Real-Time Dynamic Protection and Anomaly Detection in DeFi Stablecoins taaft With the rapid evolution of the Decentralized Finance (DeFi) ecosystem, stablecoins have emerged as… 2026-08-26 published
  32. DEFT: Data-Efficient Frequency-domain Top-k Sampling via Inverse Discrete Fourier Transform for Spatiotemporal Dynamical Systems Modeling taaft Modeling spatiotemporal dynamical systems governed by partial differential equations (PDEs) poses t… 2026-08-11 published
  33. DEFUSE: Generalizable Backdoor Defense for Self-Supervised Encoders with Generative Priors taaft Self-supervised learning (SSL) encoders are vulnerable to backdoor attacks, posing threats to both… 2026-08-26 published
  34. DegradeQuery: Counterfactual Tuple Pretraining for Context-Aware PROTAC Degradation Prediction taaft Proteolysis-targeting chimeras (PROTACs) induce protein degradation by recruiting a target protein… 2026-08-11 published
  35. DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4 taaft The digitization of healthcare has facilitated the sharing and re-using of medical data but has als… 2023-03-20 published
  36. Delayed Optimizer-State Transport Shapes Short-Horizon Training Decisions taaft Adaptive optimizers retain gradient history in moment variables, allowing a local change in loss we… 2026-08-25 published