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  1. AutoLR: Automating the Path from Research to Launch Review in Industrial Recommender Systems taaft Improving an industrial recommender is an iterative research-and-engineering process rather than a… 2026-09-04 published
  2. Automated Analysis Framework for Multilingual Climate-Health Literature Based on Multi-Agent Large Language Model taaft The rapid proliferation of interdisciplinary and multilingual scientific literature has left tradit… 2026-08-28 published
  3. Automated near-term quantum algorithm discovery for molecular ground states taaft Designing quantum algorithms is a complex and counterintuitive task, making it an ideal candidate f… 2026-03-27 published
  4. Automated Quality Assessment of Blind Sweep Obstetric Ultrasound for Improved Diagnosis taaft Blind Sweep Obstetric Ultrasound (BSOU) enables scalable fetal imaging in low-resource settings by… 2026-03-26 published
  5. Automated Vulnerability Injection in Smart Contracts Using Large Language Models taaft Assessing vulnerability detection tools for smart contracts requires datasets with known ground tru… 2026-09-02 published
  6. Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks taaft A central task of a Disc Jockey (DJ) is to create a mixset of mu-sic with seamless transitions betw… 2021-10-13 published
  7. Automatic feature identification in least-squares policy iteration using the Koopman operator framework taaft In this paper, we present a Koopman autoencoder-based least-squares policy iteration (KAE-LSPI) alg… 2026-03-27 published
  8. Automatic music mixing with deep learning and out-of-domain data taaft Music mixing traditionally involves recording instruments in the form of clean, individual tracks a… 2022-08-24 published
  9. Automatic Piano Transcription with Hierarchical Frequency-Time Transformer taaft Taking long-term spectral and temporal dependencies into account is essential for automatic piano t… 2023-07-10 published
  10. Automatic weld seam segmentation for industrial quality control: a comparison of RGB and polarimetric imaging with CNN and transformer architectures taaft Visual inspection of welded assemblies remains one of the least automated stages in many industrial… 2026-08-26 published
  11. Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation taaft We introduce LlamaGen, a new family of image generation models that apply original ``next-token pre… 2024-06-10 published
  12. Autoregressive Mosaics: Probing 2D Spatial Reasoning in Text-Only Language Models taaft Large language models (LLMs) trained only on text and code can sometimes generate programs that dra… 2026-08-31 published
  13. AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces taaft LLM agents remain unreliable on long-horizon tasks, where small local failures can compound over ex… 2026-08-24 published
  14. Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical-to-Quantum Transfer Learning taaft Machine-learned interatomic potentials (MLIPs), particularly graph neural network (GNN)-based model… 2026-03-25 published
  15. AutoVerifier: Residual-Guided Non-Parametric Optimization for Reference-Based Answer Verification taaft Reference-based verifiers are important for evaluating reasoning models and providing accurate outc… 2026-08-26 published
  16. AVERT: Audio-Verified Adjudication for Spoken Dialogue State Tracking taaft Spoken dialogue state tracking recovers slot-value pairs from speech, where ASR errors concentrate… 2026-09-01 published
  17. AW-MoE: All-Weather Mixture of Experts for Robust Multi-Modal 3D Object Detection NetEase Robust 3D object detection under adverse weather conditions is crucial for autonomous driving. Howe… 2026-03-17 published
  18. AWM: Answerable Working Memory for Long-Document VQA Agents taaft Long-document visual question answering increasingly relies on VLM agents that retrieve candidate p… 2026-08-26 published
  19. AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration NVIDIA Large language models (LLMs) have transformed numerous AI applications. On-device LLM is becoming i… 2023-06-01 published
  20. AxQM: A Textbook-Scale Benchmark for Formal Proof Synthesis in a Library of Finite-Dimensional Quantum Mechanics taaft Formalizing mathematics in a proof assistant, where a machine checks every definition, statement an… 2026-09-04 published
  21. B-jet Tagging Using a Hybrid Edge Convolution and Transformer Architecture taaft Jet flavor tagging plays an important role in precise Standard Model measurement enabling the extra… 2026-03-22 published
  22. B-MIM: Biased Masked Image Modeling for Generalizable Segmentation of Fine-Grained Anatomical Structures taaft Self-supervised pretraining enables transferable representations for medical imaging, yet most CT e… 2026-08-25 published
  23. Bag of Tricks for Efficient Text Classification Meta Platforms This paper explores a simple and efficient baseline for text classification. Our experiments show t… 2016-07-06 published
  24. Balancing Frequencies and Pixels in Flow Matching taaft Natural images follow a $1/f^2$ spectral distribution: most signal energy lies in the low spatial f… 2026-09-02 published
  25. Balancing Privacy, Utility, and Safety in LLM Alignment through Preference Optimization taaft Preference optimization is widely used to align large language models with human preferences, but p… 2026-08-31 published
  26. Basin Geometry and Reliable Recall of Dynamical Memories in Reservoir Computing taaft Reliable attractor recall conventionally requires broad basins of attraction. However, in reservoir… 2026-09-01 published
  27. BASP: Communication-Efficient Batch-Aware Sequence Parallelism for LLM Training taaft Long-context reasoning for large language models (LLMs) is becoming increasingly important, but tra… 2026-09-02 published
  28. Bayes-Optimal BER and AUC: Estimation and Evaluation of Estimators taaft A fundamental quantity in machine learning is the optimal performance achievable by any model on a… 2026-09-02 published
  29. BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark taaft To advance Chinese financial natural language processing (NLP), we introduce BBT-FinT5, a new Chine… 2023-02-18 published
  30. BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learning taaft Expected-cost constraints can still permit rare, high-cost events. Monte Carlo conditional value at… 2026-08-31 published
  31. BDH-CQ: In-Context Learning with Recurrent Latent Reasoning taaft We introduce BDH-CQ, a reasoning model that combines in-context learning with recurrent latent reas… 2026-08-10 published
  32. BEACON: Behavior-Anchored Cross-Source Knowledge Graph Construction for Cyber Threat Intelligence taaft Cyber threat intelligence (CTI) is foundational to modern cyber defense, yet much of it resides in… 2026-08-28 published
  33. BeaconKV: Key-Value Cache Compression Guided by Beacon Queries for Efficient Large Reasoning Model Inference taaft Large Reasoning Models (LRMs) achieve superior problem-solving through extended Chain-of-Thought (C… 2026-09-04 published
  34. Beam Search, Self-Consistency, and the Limits of Inference-Time Scaling for Grammar-Constrained Text-to-SQL in Small Language Models taaft One common trade-off in the use of large language models involves reducing the size of the model wh… 2026-08-26 published
  35. BEAM3R: Beam's-eye-view architecture with Mamba-3 for implicit dose reconstruction taaft To enable accurate and rapid photon control point and proton beamlet dose calculation in the DoseRA… 2026-09-04 published
  36. BeamAgent: LLM-Aided MIMO Beamforming with Decoupled Intent Parsing and Alternating Optimization for Joint Site Selection and Precoding taaft Integrating large language models (LLMs) into wireless communication optimization is a promising ye… 2026-03-19 published