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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. CAESURA: Language Models as Multi-Modal Query Planners taaft Traditional query planners translate SQL queries into query plans to be executed over relational da… 2023-08-07 published
  2. CAGE: Coherence-Aware Graph Encoding for Retrieval-Augmented Generation taaft Traditional Retrieval-Augmented Generation (RAG) systems score each passage independently against t… 2026-09-04 published
  3. CAHR-Net: Condition-Adaptive Hysteresis Reconstruction for Compact and Interpretable Magnetic Core Loss Modeling taaft Magnetic core loss originates in the hysteresis loop: the energy dissipated per excitation cycle eq… 2026-09-02 published
  4. CAITLYN: Can LLM Agents Autonomously Synthesize Defenses against Emerging Injection Attacks? taaft Prompt injection attacks on Large Language Model (LLM) agents seek to introduce malicious instructi… 2026-08-28 published
  5. Calibrating Small Language Models for Claim Check-Worthiness Detection taaft Assessing claim check-worthiness is an essential first step in automated fact-checking pipelines. T… 2026-08-31 published
  6. caling Self-Supervised Learning for Histopathology with Masked Image Modeling Owkin he Phikon paper. Annotating whole slide images is slow, costly and inconsistent, so the authors app… Owkin
  7. caling Self-Supervised Learning for Histopathology with Masked Image Modeling (1) Owkin he Phikon paper. Annotating whole slide images is slow, costly and inconsistent, so the authors app… Owkin
  8. Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments taaft Large Language Models (LLMs) have shown potential in reasoning over structured environments, e.g.,… 2024-03-13 published
  9. CAMEL: Communicative Agents for “Mind” Exploration of Large Language Models taaft The rapid advancement of chat-based language models has led to remarkable progress in complex task-… 2023-03-31 published
  10. CAMO: A Conditional Neural Solver for the Multi-objective Multiple Traveling Salesman Problem taaft Robotic systems often require a team of robots to collectively visit multiple targets while optimiz… 2026-03-19 published
  11. Can Activation Steering Capture Multidimensional Authorship Style? taaft Activation steering has shown promise for controlling LLM generation along well-defined attributes,… 2026-09-04 published
  12. Can Large Language Models Anticipate Behavioral Responses to Social Policies? A Case of Pension Enrollment Prediction among China's Flexible Workers taaft Assessing the impacts of social policy changes is a widely acknowledged challenge for policymakers.… 2026-09-04 published
  13. Can LLMs Design Video Coding Tools? A Case Study on Planar Mode taaft This paper explores whether large language models (LLMs) can design video coding tools, a highly ch… 2026-09-01 published
  14. Can LLMs Discover Scientific Laws in Real and Parallel Worlds? taaft Scientific equation discovery has long been central to scientific progress, proceeding through iter… 2026-09-01 published
  15. Can LLMs Extract Architectural Design Decisions from Source Code Commits? - A Preliminary Exploratory Study taaft Context: Architectural Design Decisions (ADDs) capture the rationale behind the structure and evolu… 2026-09-03 published
  16. Can LLMs Take the Pulse of the Economy? A Real-Time Evaluation of LLM Nowcasts on Macroeconomic Indicators taaft Nowcasting headline macroeconomic indicators, i.e., estimating an indicator's value for the current… 2026-08-31 published
  17. Can LLMs Use Relational Transformer Embeddings? taaft Injecting frozen relational-encoder embeddings as soft tokens into a large language model (LLM) is… 2026-08-31 published
  18. Canalization Before Generalization: Grokking as a Dynamical Probe taaft For overparameterized neural networks, many solutions can fit the training data equally well while… 2026-08-26 published
  19. Candidate Generation and Definition-Guided Verification for Sentence-Level Depression Symptom Recognition taaft Sentence-level recognition of depression symptoms is challenging because similar expressions can di… 2026-09-01 published
  20. Candidate supply and answer selection shape the value of LLM judging in multi-agent systems taaft Multi-agent systems (MAS) sometimes already have the potential to answer correctly, but still repor… 2026-08-26 published
  21. Capability-Gated Language Models: Security Composes, Utility Does Not taaft Deployed language model safeguards (safety fine-tuning, filtering, unlearning) vary by principal on… 2026-08-31 published
  22. CapProbe: Evaluating Detailed Image Captions via Full-Scene Dense Question Answering taaft Evaluating detailed image captions from Vision-Language Models (VLMs) requires going beyond surface… 2026-08-11 published
  23. CAPTURE: Disentangling Preference Drift from Memory Poisoning in Personalized LLM Agents taaft Personalized language agents use persistent memory to adapt to users over time, but the same mechan… 2026-09-02 published
  24. CAR -- Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles taaft Self-driving vehicles are the future of transportation. With current advancements in this field, th… 2021-11-16 published
  25. CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT taaft Cardiovascular risk prediction remains limited by incomplete clinical data and imaging biomarkers t… 2026-08-27 published
  26. CARE: Confidence-Aware Reasoning for Reliable Medical VQA taaft Reinforcement Fine-Tuning (RFT) has enabled medical Multimodal Large Language Models (MLLMs) to pro… 2026-08-11 published
  27. CARVE: Verified Expansion for Variable-Length Generation in Diffusion Language Models taaft Masked diffusion language models predict tokens from a partially observed response canvas, enabling… 2026-08-31 published
  28. CAST: Critique-Aware Supervision for Training Reliable Long-Horizon Tool-Calling Agents taaft Large language model (LLM) agents are increasingly deployed in long-horizon, interactive, and state… 2026-08-31 published
  29. CAT-Flow: Curvature-Adaptive sTeps for Flow Matching taaft Flow Matching has emerged as a leading framework for generative modeling, powering state-of-the-art… 2026-09-01 published
  30. Catalan's constant is irrational taaft Whether the constant $$G=\sum_{k=0}^\infty\frac{(-1)^k}{(2k+1)^2}=\frac1{1^2}-\frac1{3^2}+\frac1{5^… 2026-09-03 published
  31. CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration taaft Large language models (LLMs) have demonstrated strong capabilities in handling long-context tasks,… 2026-08-31 published
  32. Causal Evidentiary Governance for High-Risk Machine Learning Systems taaft Machine learning systems deployed for credit, hiring, and resource distribution are increasingly su… 2026-09-01 published
  33. Causal Foundation Models taaft Causal inference is the practice of estimating the effect of a treatment or intervention from data.… 2026-09-02 published
  34. CC-4DGS: Computational Deformation and Point-Cloud Compression for Storage-Efficient Dynamic Gaussian Splatting taaft Dynamic four-dimensional (4D) Gaussian Splatting has emerged as a powerful explicit representation… 2026-09-02 published
  35. CC-Mediation: Evaluating Large Language Models for Cross-Cultural Conflict Mediation taaft Cross-cultural mediation by large language models (LLMs) requires deciding both when to intervene a… 2026-09-04 published
  36. CCF: Complementary Collaborative Fusion for Domain Generalized Multi-Modal 3D Object Detection taaft Multi-modal fusion has emerged as a promising paradigm for accurate 3D object detection. However, p… 2026-03-24 published