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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. CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulators taaft State-of-the-art action-conditioned video models are typically restricted to a single robot embodim… 2026-08-27 published
  2. Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints taaft Language-model judges now gate training data, score generations, and drive leaderboards. The judge… 2026-09-03 published
  3. CleanAgent: Automating Data Standardization with LLM-based Agents taaft Data standardization is a crucial part of the data science life cycle. While tools like Pandas offe… 2024-03-13 published
  4. Cliff: Learning Process Rewards from the First Mistake taaft Reinforcement learning with verifiable rewards (RLVR) has emerged as a powerful paradigm for large… 2026-09-02 published
  5. CliffRank: A Dual-Branch Framework for Activity-Cliff Ranking Prediction taaft Activity-cliff ranking remains difficult because local structural changes can cause large activity… 2026-09-01 published
  6. Climate Prompting: Generating the Madden-Julian Oscillation using Video Diffusion and Low-Dimensional Conditioning taaft Generative Deep Learning is a powerful tool for modeling of the Madden-Julian oscillation (MJO) in… 2026-03-23 published
  7. CLIP-CLOP: CLIP-Guided Collage and Photomontage Google DeepMind The unabated mystique of large-scale neural networks, such as the CLIP dual image-and-text encoder,… 2022-05-06 published
  8. CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos taaft Recent years have seen progress beyond domain-specific sound separation for speech or music towards… 2022-12-14 published
  9. CLON: Cue-Calibrated Linguistic Object Onboarding for Zero-Shot 6D Pose Front-Ends taaft Zero-shot 6D pose estimation pipelines increasingly rely on strong downstream pose solvers, but the… 2026-09-04 published
  10. CloSeR: Unified Relational Distillation from Closed-Set Teachers for Category Discovery taaft Generalized Category Discovery (GCD) is an intriguing open-world problem that has garnered increasi… 2026-08-26 published
  11. Closing Cost-Quality Gap in Document VLMs: Difficulty-Aware Data Curation and Quality-Adjusted Deployment Economics taaft Extracting structured fields from hundreds of millions of documents annually remains costly in regu… 2026-09-01 published
  12. ClueWeaver: Reward-Guided Dual-Agent Evidence Reasoning for Compact LLMs on Literary Long Narratives taaft Humanities and social science research requires close reading of long narrative materials such as n… 2026-08-26 published
  13. Cluster Contrast for Unsupervised Person Re-Identification taaft State-of-the-art unsupervised re-ID methods train the neural networks using a memory-based non-para… 2021-03-22 published
  14. Coarse-Graining Hidden Representations: Unsupervised Neuron Selection via Mapping Entropy taaft Overparameterized neural networks carry far more hidden units than a task nominally requires, raisi… 2026-09-04 published
  15. CoCoA: Context-Conditional Cultural Alignment for Large Language Models taaft Large Language Models (LLMs) often favor Western-associated entities across cultural contexts. Conv… 2026-08-30 published
  16. Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning taaft Physical understanding and reasoning depend on forming compact and generalizable representations of… 2026-08-27 published
  17. Codebook Agent: Amortized Topology Design for LLM Multi-Agent Systems taaft Adapting the communication topology of an LLM multi-agent system to each query improves both accura… 2026-09-02 published
  18. CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules Salesforce Large Language Models (LLMs) have already become quite proficient at solving simpler programming ta… 2023-10-13 published
  19. CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis Salesforce Program synthesis strives to generate a computer program as a solution to a given problem specifica… 2022-03-25 published
  20. CodePoisonRAG: Knowledge Poisoning Attacks on Retrieval-Augmented Code Generation taaft Retrieval-Augmented Code Generation (RACG) improves LLM-based software development by retrieving ex… 2026-09-02 published
  21. CodeSearchNet Challenge: Evaluating the State of Semantic Code Search taaft Semantic code search is the task of retrieving relevant code given a natural language query. While… 2019-09-20 published
  22. CoFiE: Coarse-to-Fine Evidence Selection for Efficient Streaming Video Understanding taaft Streaming video understanding requires Vision Language Models (VLLMs) to process growing video stre… 2026-09-03 published
  23. CogEvol: Towards Efficient and Reliable Learning Environment Generation taaft We present CogEvol, a family of models trained specifically for Learning Environment Generation: tu… 2026-08-31 published
  24. COGTRL: Training LLMs for Scientific Discovery Assistance using Cognitive Traces via Reinforcement Learning taaft Large Language Models (LLMs) trained on extensive scientific research are increasingly integrated a… 2026-08-31 published
  25. CoInteract: Physically-Consistent Human-Object Interaction Video Synthesis via Spatially-Structured Co-Generation taaft Synthesizing human--object interaction (HOI) videos has broad practical value in e-commerce, digita… 2026-04-21 published
  26. CoinVE-200K: A Large-Scale High-Quality Dataset for Compositional Instruction-Guided Video Editing taaft The quality and diversity of instruction-based video editing datasets are steadily improving, yet e… 2026-08-18 published
  27. CoLa-ICD: A Knowledge-Enhanced Framework for Long-Tail Automated Medical Coding taaft Automatic medical coding assigns ICD codes to clinical notes, but it remains challenging due to lon… 2026-08-31 published
  28. ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT taaft Recent progress in Natural Language Understanding (NLU) is driving fast-paced advances in Informati… 2020-04-27 published
  29. ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction taaft Neural information retrieval (IR) has greatly advanced search and other knowledge-intensive languag… 2021-12-02 published
  30. CoLMIN: LLM-based Multi-Decision Path Negotiation for Cooperative Autonomous Driving taaft Multi-vehicle cooperative autonomous driving enhances the safety and reliability of autonomous driv… 2026-09-04 published
  31. CoMerge: Conflict-Driven Preference Optimization for Multi-Task Model Merging taaft Model merging provides an efficient paradigm for constructing multi-task large language models (LLM… 2026-09-02 published
  32. ComFact: A Benchmark for Linking Contextual Commonsense Knowledge taaft Understanding rich narratives, such as dialogues and stories, often requires natural language proce… 2022-10-23 published
  33. CoMLP: Cooperatively-Gated MLPs for Fine-Grained Cross-Modal Information Fusion in Medical Image Segmentation taaft Multi-modal medical images and clinical reports provide complementary anatomical, functional, and s… 2026-09-04 published
  34. CommerceVibe: Learning to Design E-Commerce Creatives as Executable Visual Code via Dual-Feedback Reinforcement Learning taaft High-quality e-commerce creatives are essential for presenting products and conveying marketing mes… 2026-08-28 published
  35. Common-Witness Certificates and Sharp Feature Bounds for Counterfactual Image Auditing taaft An image editor may satisfy every regional plausibility constraint separately even when no single l… 2026-09-03 published
  36. Commonsense Reasoning in Computer Vision: Foundations, Recent Advancements, and Future Directions taaft Commonsense reasoning in computer vision encompasses integrating visual data and contextual knowled… 2026-09-04 published