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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. A Watermark for Large Language Models taaft Potential harms of large language models can be mitigated by watermarking model output, i.e., embed… 2023-01-24 published
  2. A^2Agent: Action-Aware Reinforcement Learning for Repository-Level Code Localization Agents taaft Localizing issue-relevant code regions is a critical step in automated software engineering. Howeve… 2026-08-30 published
  3. A-PAIR: A Benchmark and Identity-Consistent Grounding Framework for Air-Ground Cross-View Referring Person Detection taaft Air-ground cross-view referring person detection is a necessary component in the language-to-percep… 2026-08-28 published
  4. A.X K2 Technical Report taaft We introduce A.X K2, a 688B-parameter Mixture-of-Experts (MoE) language model trained from scratch… 2026-08-31 published
  5. Ab initio Modeling of MoS2/Oxide Device Interfaces with Machine Learned Electronic Structures taaft We introduce a new ab initio approach to simulate semiconductor devices that integrates scalable ma… 2026-08-27 published
  6. ACC: Compiling Agent Trajectories for Long-Context Training taaft Recent development of agents has renewed demand for long-context reasoning capacity of LLMs. Howeve… 2026-05-21 published
  7. Accelerating Chemical Kinetics for Exoplanet Atmospheres using Neural Networks taaft Observations increasingly reveal the coupled radiative, chemical, and dynamical processes that shap… 2026-08-31 published
  8. Accelerating Reinforcement Learning via MPC Solver-Gradient Guidance for Weights-varying MPC taaft In Model Predictive Control (MPC), cost-function weights shape closed-loop behavior, yet changing c… 2026-09-01 published
  9. AcCoRD: Evaluating User-Agent Collaboration Under Realistic User Preference Dynamics taaft User preferences in user-agent collaboration are rarely static and fully-specified upfront: prefere… 2026-08-28 published
  10. Accurate in space, unreliable in time: how LLMs represent national cultural change taaft Assessments of cultural alignment have become an important part of the development and improvement… 2026-09-01 published
  11. ACE: Adaptive Calibration-Free Expert Skipping for MoE-based LLMs taaft Mixture-of-Experts (MoE) architectures provide an efficient paradigm for scaling large language mod… 2026-09-04 published
  12. ACM: Agentic Context Management for Long Horizon Tasks taaft Agentic tasks are inherently long-horizon and multi-turn, constantly accumulating context through i… 2026-07-26 published
  13. Acquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game Agents taaft Interactive dialogue games test a capability that static benchmarks largely leave implicit: a model… 2026-08-28 published
  14. AcrossVAM1.0: Particle World Modeling for Text-Assisted Robot Video Prediction taaft Predicting robot videos requires both precise motion reasoning and preservation of high-frequency a… 2026-08-28 published
  15. Act More, Decide Less: Skill-Guided Adaptive Action Chunking for Long-Horizon LLM Agents taaft Large language model (LLM) agents for long-horizon interactive tasks typically follow a ReAct-style… 2026-09-02 published
  16. ACTD: Anchor-Based Cross-Tokenizer Distillation with Residual Regularization taaft Knowledge distillation effectively transfers reasoning capabilities from large language models to l… 2026-08-30 published
  17. Activation Outliers Matter: Robust Recovery for Quantized Multimodal LLMs taaft Low-bit quantization offers a promising avenue for reducing the computational and memory demands of… 2026-08-27 published
  18. Activation-Space Order-Swap Geometry: A Site-Asymmetry Audit taaft Order-dependent activation statistics are often interpreted as evidence of interaction, but that in… 2026-08-26 published
  19. Active sensing to characterize the heterogeneity of plant stress taaft While most phenotyping platforms rely primarily on image-based measurements, advanced plant charact… 2026-08-27 published
  20. Ada-TokenCom: Rate-Adaptive Token Communications via Large-Model-Driven Token Compression and Generation taaft Token Communications (TokenCom) has recently emerged as a new paradigm in which tokens serve as uni… 2026-08-28 published
  21. AdaJEPA: An Adaptive Latent World Model taaft Latent world models enable planning from high-dimensional observations by predicting future states… 2026-06-30 published
  22. Adam's Law: Textual Frequency Law on Large Language Models taaft While textual frequency has been validated as relevant to human cognition in reading speed, its rel… 2026-04-02 published
  23. AdaPath: Query-Adaptive Path-Finding via Path-Bank for Multi-Hop Implicit Biomedical KGQA taaft Path-finding over knowledge graphs has become an effective way to ground LLM reasoning on multi-hop… 2026-08-31 published
  24. Adaptation Interfaces for In-Context Tabular Foundation Models in Time-to-Event Prediction taaft Tabular foundation models (TabFMs) achieve strong performance on structured data, particularly for… 2026-09-04 published
  25. AdapterHub: A Framework for Adapting Transformers taaft The current modus operandi in NLP involves downloading and fine-tuning pre-trained models consistin… 2020-07-15 published
  26. Adapting a Foundation Model for Lunar Surface Height Estimation taaft Digital elevation models (DEMs) can provide accurate height information, making it invaluable for a… 2026-09-02 published
  27. Adapting to Evolving Requirements: Agentic AI for Retail Supply Chain Operations taaft Retail supply chain operations rely on coupled decision modules that must adapt as requirements evo… 2026-09-03 published
  28. Adaptive Critical Token-Aware Retrieval for Repository-Level Code Generation taaft The repository-level code generation task requires synthesizing code that satisfies task requiremen… 2026-09-01 published
  29. Adaptive Gated Deepfake Detection for Low-Resolution and Resource-Constrained Environments taaft Deepfake detection models often rely on high-quality inputs, fixed inference paths, and computation… 2026-09-04 published
  30. Adaptive Hybrid Subspace Levenberg Marquardt Algorithm with Adequacy Monitor for Large Scale Least Squares Problems taaft The Levenberg-Marquardt (LM) algorithm is the most widely used method for solving nonlinear least-s… 2026-08-26 published
  31. Adaptive Multi-Granularity Temporal Modeling for Weakly Supervised Video Anomaly Detection taaft As the scale of video surveillance data outpaces manual annotation capacities, weakly supervised vi… 2026-09-04 published
  32. Adaptive Regularization for Random Features: A Neighboring Early-Stopping Rule with Oracle-Rate Guarantees taaft Random feature methods provide a scalable approximation to kernel ridge regression (KRR), but the r… 2026-08-26 published
  33. Adaptive Test-Time Inference for Text2Cypher with Trace Budgeting and Selective Refinement taaft Large language models have enabled natural language interfaces for structured databases, but genera… 2026-09-02 published
  34. AdaptiveEmbed: Sample-Adaptive Multi-Vector Representation for Multimodal Retrieval taaft Multi-vector representations have emerged as an effective paradigm for multimodal retrieval, repres… 2026-08-26 published
  35. AdaptNTK: Adaptive Uncertainty Quantification and Active Learning for Neural Network Potentials taaft Machine learning interatomic potentials bridge the gap between quantum chemical precision and class… 2026-08-31 published
  36. Adding Conditional Control to Text-to-Image Diffusion Models KRAFTON We present ControlNet, a neural network architecture to add spatial conditioning controls to large,… 2023-02-10 published