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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. Efficient Large Language Model Inference with Limited Memory Apple Tackles running LLMs that don’t fit DRAM by keeping weights in flash and streaming them efficiently… Apple
  2. Efficient Memory Management for Large Language Model Serving with PagedAttention Independent Researcher High throughput serving of large language models (LLMs) requires batching sufficiently many request… 2023-09-12 published
  3. Efficient Online Continual Foundation Model Fine-Tuning for Predictive Process Monitoring taaft Predictive Process Monitoring (PPM) models are increasingly deployed in dynamic environments where… 2026-08-28 published
  4. Efficient Online Data Mixing For Language Model Pre-Training taaft The data used to pretrain large language models has a decisive impact on a model's downstream perfo… 2023-12-05 published
  5. Efficient Passive Acoustic Monitoring of Killer Whales Using a Two-Stage Detection and Ecotype Classification Cascade taaft Passive acoustic monitoring of killer whales is particularly important for conservation of the enda… 2026-09-01 published
  6. Efficient Semantic Understanding from Digital Foveation taaft Dense semantic segmentation allocates computational resources uniformly across the entire image, re… 2026-09-03 published
  7. Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance taaft Effective training of today's large language models (LLMs) depends on large batches and long sequen… 2021-06-29 published
  8. Efficient SWE Agent Benchmarking via Trajectory-Aware Evaluation taaft Evaluating software engineering agents on realistic benchmarks is costly, since each task may requi… 2026-09-01 published
  9. Efficient Training with Foresight: Multi-Token Auxiliary Supervision for Autoregressive Image Generation taaft Autoregressive (AR) image generation has shown strong potential for scalable high-fidelity synthesi… 2026-08-26 published
  10. EgoInfinity: A Web-Scale 4D Hand-Object Interaction Data Engine for Any-View Robot Retargeting and Video-to-Action Robot Learning taaft Internet videos constitute the largest reservoir of embodied human manipulation knowledge, yet conv… 2026-06-16 published
  11. EgoNav: Bridging Learned Waypoints and Geometry-Aware Local Control for Robust Indoor Navigation taaft Image-goal navigation using lightweight topological maps is a practical paradigm for indoor robot d… 2026-08-26 published
  12. EgoXtreme: A Dataset for Robust Object Pose Estimation in Egocentric Views under Extreme Conditions taaft Smart glass is emerging as an useful device since it provides plenty of insights under hands-busy,… 2026-03-26 published
  13. EGT-KG: Evidence-Grounded Typed KG Retrieval for Practical Scientific QA with Small Language Models taaft For emerging scientific research domains, local Small Language Models (SLMs) are becoming more attr… 2026-08-31 published
  14. ElderBench: Benchmarking Autonomous Mobile Agents for Older Adults taaft While autonomous mobile agents hold great potential for assisting older adults with smartphone usag… 2026-09-04 published
  15. Eliciting ESG Preferences for Reinforcement Learning-Based Portfolio Optimization taaft Modern portfolio management increasingly demands a balance between traditional risk-adjusted return… 2026-09-02 published
  16. Elucidating the Design Space of Diffusion-Based Generative Models taaft We argue that the theory and practice of diffusion-based generative models are currently unnecessar… 2022-06-01 published
  17. EM^2Mem: Event-Centric Multimodal Memory for Large Language Models taaft Multimodal memory offers a scalable interface for long-video question answering, but existing metho… 2026-09-01 published
  18. Embedded Graph Flows for Categorical Graph Generation taaft Generating categorical graphs requires choosing node and edge types that form a coherent structure… 2026-09-04 published
  19. Embedding NDRE Trajectories into Contrastive Learning for Label-Free, Physiology-Aware Crop-Stress Staging and DSS Outputs taaft Timely detection of crop stress is critical for sustaining yields under increasing drought frequenc… 2026-08-26 published
  20. Emergence of Fibrations, Compression, and Symmetry Breaking in Artificial Neural Networks taaft Artificial neural networks are often regarded as powerful yet opaque black boxes. Here, we demonstr… 2026-09-01 published
  21. Emergent aggregation from collective foraging taaft Collective behaviour in living systems is usually modelled as the outcome of a \emph{direct} social… 2026-08-28 published
  22. EmoAgent-R1: Towards Multimodal Emotion Understanding with Reinforcement Learning-based Dynamic Agent Specialization taaft Multimodal large language models (MLLMs) have achieved impressive performance in multimodal emotion… 2026-07-23 published
  23. EmoStance: Response-Side Affective-Orientation Control for Empathetic Response Generation via Emoji Weak Supervision taaft Empathetic response generation requires models to decide not only what to say, but also how to resp… 2026-09-02 published
  24. Emotional Preferences as Goal-Priority Regulation taaft A core question in decision-making for agents is whether the relative priorities of competing lower… 2026-08-27 published
  25. Empirical Analysis of the Strengths and Weaknesses of PEFT Techniques for LLMs taaft As foundation models continue to exponentially scale in size, efficient methods of adaptation becom… 2023-04-28 published
  26. Empowering Local Agriculture: A Deep Learning-Powered Web System for Identifying Bangladeshi Mango Varieties taaft Mango variety identification in Bangladesh is challenging because closely related cultivars can hav… 2026-08-28 published
  27. En-ViMedNER: An English-Vietnamese Parallel Biomedical Corpus with UMLS Semantic Type Annotations taaft Biomedical Named Entity Recognition (NER) is fundamental to healthcare AI applications, including c… 2026-08-30 published
  28. Enabling ab initio geometry optimization of strongly correlated systems with transferable deep quantum Monte Carlo taaft A faithful description of chemical processes requires exploring extended regions of the molecular p… 2026-03-26 published
  29. Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models taaft Calibration of deep learning models is crucial to their trustworthiness and safe usage, and as such… 2023-03-11 published
  30. Encode-Store-Retrieve: Augmenting Human Memory through Language-Encoded Egocentric Perception taaft We depend on our own memory to encode, store, and retrieve our experiences. However, memory lapses… 2023-08-10 published
  31. End-to-End Neural Shrinkage of Indefinite Pairwise Correlation Matrices for Small-Cap-Inclusive Portfolios taaft Small-cap-inclusive equity universes contain recently listed and intermittently traded securities,… 2026-08-31 published
  32. ENEAS: Embedding-guided Neural Ensemble for Adaptive Segmentation taaft We present ENEAS, a unified, text-promptable method for instance tracking and semantic discovery. T… 2026-09-03 published
  33. Energy Yield and Lifetime Climate Classification via Machine Learning for Optimizing Photovoltaic Module Design and Materials taaft To resiliently and sustainably meet our future energy demand, photovoltaic (PV) modules must be dep… 2026-08-26 published
  34. Engine-Native Editable 3D World Reconstruction with Objects and Lighting taaft Editable 3D scene creation requires object instances and lights that can be inspected, moved, and i… 2026-07-23 published
  35. Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity taaft Hyperparameter selection remains a key challenge in Bayesian optimization (BO) and Bayesian active… 2026-08-25 published
  36. Enhancing Financial Question Answering: A Novel Benchmark Dataset of Banks' financial statements taaft The comparative analysis of banks' financial statements poses significant challenges for automated… 2026-09-03 published