2/27/2026
How Do Latent Reasoning Methods Perform Under Weak and Strong Supervision?
Empirical study of latent reasoning methods under weak and strong supervision for multi-step LLM reasoning.
2/27/2026
A Fusion of context-aware based BanglaBERT and Two-Layer Stacked LSTM Framework for Multi-Label Cyberbullying Detection
BanglaBERT with stacked LSTM for multi-label cyberbullying detection in Bangla text.
2/27/2026
When to Act, Ask, or Learn: Uncertainty-Aware Policy Steering
Uncertainty-aware policy steering using VLM verifiers to adapt robot behaviors by selecting aligned action samples.
2/27/2026
VeRO: An Evaluation Harness for Agents to Optimize Agents
VeRO: Evaluation framework for assessing coding agents that optimize other agents through iterative edit-execute-evaluate cycles.
2/27/2026
Flow Matching is Adaptive to Manifold Structures
Flow matching generative model that adapts to manifold structures, offering simulation-free alternative to diffusion models.
2/27/2026
From Shallow Bayesian Neural Networks to Gaussian Processes: General Convergence, Identifiability and Scalable Inference
Theoretical analysis of scaling limits from shallow Bayesian neural networks to Gaussian processes with scalable inference methods.
2/27/2026
TFPS: A Temporal Filtration-enhanced Positive Sample Set Construction Method for Implicit Collaborative Filtering
TFPS: Temporal filtration method for constructing positive sample sets in implicit collaborative filtering recommendation systems.
2/27/2026
A Synergistic Approach: Dynamics-AI Ensemble in Tropical Cyclone Forecasting
AI-driven ensemble forecast system for tropical cyclone prediction combining dynamics models with AI optimization.
2/27/2026
HARU-Net: Hybrid Attention Residual U-Net for Edge-Preserving Denoising in Cone-Beam Computed Tomography
HARU-Net: Hybrid attention residual U-Net for denoising cone-beam CT medical images.
2/27/2026
Towards Dynamic Dense Retrieval with Routing Strategy
Dynamic dense retrieval with routing strategy for adapting information retrieval models across domains without full retraining.
2/27/2026
A Fast and Practical Column Generation Approach for Identifying Carcinogenic Multi-Hit Gene Combinations
Column generation algorithm for identifying carcinogenic multi-hit gene combinations in cancer research.
2/27/2026
CourtGuard: A Model-Agnostic Framework for Zero-Shot Policy Adaptation in LLM Safety
CourtGuard: Model-agnostic multi-agent framework for zero-shot LLM safety policy adaptation using retrieval-augmented debate.
2/27/2026
Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
Search-P1: Path-centric reward shaping for training agentic RAG systems with improved sample efficiency via RL.
2/27/2026
Correcting Human Labels for Rater Effects in AI Evaluation: An Item Response Theory Approach
Item Response Theory approach to correct systematic rater biases in human evaluations for AI model assessment.
2/27/2026
SideQuest: Model-Driven KV Cache Management for Long-Horizon Agentic Reasoning
SideQuest: Model-driven KV cache management technique for long-context agentic reasoning tasks with multi-hop retrieval.
2/27/2026
EvolveGen: Algorithmic Level Hardware Model Checking Benchmark Generation through Reinforcement Learning
RL-based approach for generating hardware model checking benchmarks at algorithmic level.
2/27/2026
Advancing accelerator virtual beam diagnostics through latent evolution modeling: an integrated solution to forward, inverse, tuning, and UQ problems
Hybrid ML framework combining autoencoders and transformers for accelerator beam diagnostics simulations.
2/27/2026
HyperKKL: Enabling Non-Autonomous State Estimation through Dynamic Weight Conditioning
Novel learning approach for designing KKL observers in non-autonomous nonlinear systems using neural networks to approximate PDEs.
2/27/2026
Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators
Trie-based constrained decoding optimization for LLM generative retrieval on accelerators. Improves business logic constraints in recommendations.
2/27/2026
dLLM: Simple Diffusion Language Modeling
dLLM: Unified framework for diffusion language models. Standardizes components across research implementations for reproducibility.
2/27/2026
DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule
DPSQL+: Differentially private SQL library with minimum frequency rule. Privacy-preserving data analysis.
2/27/2026
Generative Recommendation for Large-Scale Advertising
GR4AD: Production generative recommendation system for large-scale advertising using LLMs. Architecture, learning, and serving optimization.
2/27/2026
AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications
AMA-Bench: Benchmark evaluating long-horizon memory for LLM-based agentic applications. Addresses gap between dialogue benchmarks and real agent scenarios.
2/27/2026
QSIM: Mitigating Overestimation in Multi-Agent Reinforcement Learning via Action Similarity Weighted Q-Learning
QSIM: Multi-agent reinforcement learning method addressing Q-value overestimation via action similarity weighting. Value decomposition improvement.
2/27/2026
Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving
Research on diffusion models for end-to-end autonomous driving in real-world settings. arXiv paper exploring decision-making applications.
2/27/2026
FlexMS is a flexible framework for benchmarking deep learning-based mass spectrum prediction tools in metabolomics
FlexMS framework for benchmarking deep learning mass spectrum prediction tools in metabolomics and drug discovery.
2/27/2026
TARAZ: Persian Short-Answer Question Benchmark for Cultural Evaluation of Language Models
TARAZ benchmark for evaluating cultural competence of LLMs in Persian with short-answer format and morphological analysis.
2/27/2026
Unsupervised Continual Learning for Amortized Bayesian Inference
Unsupervised continual learning framework for amortized Bayesian inference handling sequential data and distribution shifts.
2/27/2026
SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization
SPD Learn Python library for symmetric positive definite matrix neural networks in neural decoding with geometric deep learning.
2/27/2026
OmniGAIA: Towards Native Omni-Modal AI Agents
OmniGAIA benchmark for evaluating omni-modal AI agents with unified vision, audio, and language perception capabilities.
2/27/2026
SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress
SIGMA system applying LLMs to multi-task recommendation at scale, handling diverse business requirements beyond traditional next-item prediction.
2/27/2026
Beyond NNGP: Large Deviations and Feature Learning in Bayesian Neural Networks
Large deviations theory analysis of wide Bayesian neural networks studying posterior concentration and feature learning.
2/27/2026
pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation
Parameter-efficient fine-tuning combining multiple domain expert models for visual adaptation tasks via prompt tuning.
2/27/2026
Regular Fourier Features for Nonstationary Gaussian Processes
Fourier feature method for efficient nonstationary Gaussian process simulation with spectral techniques.
2/27/2026
Sequential Regression for Continuous Value Prediction using Residual Quantization
Sequential regression approach using residual quantization for continuous value prediction in recommendation systems.
2/27/2026
SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling
Training-free few-shot anomaly detection using foundation model features and subspace modeling for industrial inspection.
2/27/2026
Low-degree Lower bounds for clustering in moderate dimension
Theoretical lower bounds for clustering in moderate dimensions using low-degree polynomial analysis.
2/27/2026
MoDora: Tree-Based Semi-Structured Document Analysis System
Tree-based system for analyzing semi-structured documents with mixed content types enabling question-answering over complex layouts.
2/27/2026
Assessing Deanonymization Risks with Stylometry-Assisted LLM Agent
LLM agent framework (SALA) for evaluating deanonymization risks through stylometry-assisted analysis of textual data with interpretable pipeline.
2/27/2026
Q-Tag: Watermarking Quantum Circuit Generative Models
Watermarking technique for protecting quantum circuits as intellectual property in quantum cloud computing platforms.
2/27/2026
From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation
Diffusion-based approach for multi-behavior sequential recommendation systems capturing dynamic user preferences across heterogeneous interaction types.
2/27/2026
Modality Collapse as Mismatched Decoding: Information-Theoretic Limits of Multimodal LLMs
Study of information-theoretic limits in multimodal LLMs showing modality-specific information is discarded during decoding despite surviving encoding layers.
2/27/2026
SettleFL: Trustless and Scalable Reward Settlement Protocol for Federated Learning on Permissionless Blockchains (Extended version)
SettleFL protocol for decentralized reward settlement in federated learning using blockchain, addressing scalability via off-chain batching.
2/27/2026
FairQuant: Fairness-Aware Mixed-Precision Quantization for Medical Image Classification
arXiv paper: Fairness-aware mixed-precision quantization for neural network compression in medical imaging, explicitly addressing algorithmic fairness during model compression.
2/27/2026
Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models
arXiv paper: Theoretical analysis of fine-tuning effects on in-context learning in linear attention transformers, balancing downstream and few-shot task performance.
2/27/2026
Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
arXiv paper: Plug-and-play diffusion framework with ADMM for medical image reconstruction addressing memory issues in PnP solvers.
2/27/2026
Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments
arXiv paper: Large-scale app store search ranking system augmented with LLM-generated textual relevance judgments to address scarcity of expert labels.
2/27/2026
Zeroth-Order Stackelberg Control in Combinatorial Congestion Games
arXiv paper: Zeroth-order optimization for leader-follower Stackelberg control in combinatorial congestion games with discrete strategy selection.
2/27/2026
ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation
arXiv paper: Training-free hierarchical manifold guidance for dataset distillation using diffusion models without requiring gradient computation.
2/27/2026
Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction
arXiv paper: Zero-shot and one-shot adaptation of small language models for leader-follower role assignment in human-robot interaction with resource constraints.