3/2/2026
What Makes a Reward Model a Good Teacher? An Optimization Perspective
Optimization perspective on reward model quality in RLHF showing accuracy alone doesn't capture effective teacher properties.
3/2/2026
Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
Domain decomposition approach for neural operators to improve geometry generalization and transferability in PDE solving.
3/2/2026
LLM-hRIC: LLM-empowered Hierarchical RAN Intelligent Control for O-RAN
LLM-empowered hierarchical RIC controller for O-RAN addressing cooperation, computational demands, and domain-specific adaptation.
3/2/2026
FineScope : SAE-guided Data Selection Enables Domain Specific LLM Pruning and Finetuning
FineScope framework using SAE-guided data selection for domain-specific LLM pruning and finetuning with maintained performance.
3/2/2026
Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search
Feature selection method using permutation-invariant embeddings and policy-guided search for complex feature interactions.
3/2/2026
Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows
Agentic Predictor using multi-view encoders for performance prediction in LLM-based agentic workflows without exhaustive evaluation.
3/2/2026
Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning
Method bridging target-free and target-based deep reinforcement learning to reduce memory requirements and improve update propagation.
3/2/2026
From Generator to Embedder: Harnessing Innate Abilities of Multimodal LLMs via Building Zero-Shot Discriminative Embedding Model
Framework converting generative multimodal LLMs into zero-shot discriminative embedding models without extensive pre-training.
3/2/2026
OM2P: Offline Multi-Agent Mean-Flow Policy
OM2P offline multi-agent reinforcement learning using flow-based generative models with improved sampling efficiency.
3/2/2026
Beyond Na\"ive Prompting: Strategies for Improved Context-aided Forecasting with LLMs
Framework for improving LLM context-aided forecasting with diagnostic tools and reduced computational costs for practical deployment.
3/2/2026
Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward
AC3 reinforcement learning framework for long-horizon robotic manipulation using continuous action chunking with sparse rewards.
3/2/2026
LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems
LumiMAS framework for real-time monitoring and observability of multi-agent systems with LLMs, addressing system-wide failure detection.
3/2/2026
A Reduction of Input/Output Logics to SAT
SAT reduction approach for automating input/output logics, a family of deontic logics for reasoning over norms and obligations.
3/2/2026
Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning
Latent Self-Consistency: method for reliable majority voting in LLM outputs handling both short and long-form reasoning tasks consistently.
3/2/2026
Once4All: Skeleton-Guided SMT Solver Fuzzing with LLM-Synthesized Generators
Once4All: LLM-synthesized test generator for SMT solver fuzzing using skeleton guidance to uncover bugs in evolving solver versions.
3/2/2026
Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning
Veritas: pattern-aware deepfake detection system with HydraFake dataset bridging gap between academic benchmarks and industrial deployment.
3/2/2026
Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing
Draw-In-Mind: multimodal model rebalancing designer and painter roles to improve precision in image editing tasks.
3/2/2026
Audio-Conditioned Diffusion LLMs for ASR and Deliberation Processing
LLaDA diffusion-based large language model applied to automatic speech recognition with deliberation-based post-processing for Whisper transcripts.
3/2/2026
Efficient Ensemble Conditional Independence Test Framework for Causal Discovery
E-CIT: plug-and-play ensemble framework for conditional independence testing to reduce computational bottlenecks in constraint-based causal discovery.
3/2/2026
Context and Diversity Matter: The Emergence of In-Context Learning in World Models
Investigation of in-context learning emergence in world models for environmental dynamics prediction beyond static zero-shot performance.
3/2/2026
Activation Function Design Sustains Plasticity in Continual Learning
Study of activation function design's role in preventing plasticity loss during continual learning, beyond catastrophic forgetting.
3/2/2026
Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and Preference Optimization
Meta-weighted online sampling approach for aligning LLMs by reducing distribution mismatch between offline preference data and evolving model policy.
3/2/2026
MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training Recipes
MobileLLM-R1: sub-billion parameter language models with chain-of-thought reasoning and open training recipes, challenging assumptions about model size requirements.
3/2/2026
Scaling Generalist Data-Analytic Agents
DataMind: scalable data-analytic agent system with open-source training recipes for multi-step reasoning over diverse-format, large-scale data files.
3/2/2026
BEV-VLM: Trajectory Planning via Unified BEV Abstraction
BEV-VLM: trajectory planning approach using vision-language models with bird's-eye-view representations from fused camera and LiDAR data.
3/2/2026
VoiceBridge: General Speech Restoration with One-step Latent Bridge Models
VoiceBridge: one-step latent bridge model for general speech restoration from diverse distortions with energy-preserving VAE design.
3/2/2026
Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving
Max-V1: vision-language model framework for autonomous driving that formulates trajectory planning as next waypoint prediction via language.
3/2/2026
Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning
FLOP: score-based causal discovery algorithm for linear models using fast parent selection and Cholesky-based updates to find optimal causal graphs.
3/2/2026
CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers
CMT-Benchmark: 50 expert-level condensed matter theory problems for evaluating LLMs on advanced scientific reasoning and code generation.
3/2/2026
Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
Permutation-invariant feature selection method using generative models to capture feature interactions while improving robustness and privacy.
3/2/2026
Carr\'e du champ flow matching: better quality-generalisation tradeoff in generative models
Flow matching variant (Carré du champ flow matching) that improves quality-generalization tradeoff in generative models through geometry-aware noise regularization.
3/2/2026
DropVLA: An Action-Level Backdoor Attack on Vision--Language--Action Models
Backdoor attack on vision-language-action models demonstrating vulnerability to behavioral hijacking via hidden training triggers.
3/2/2026
Thompson Sampling via Fine-Tuning of LLMs
Bayesian optimization method using LLM fine-tuning to perform Thompson sampling in large discrete spaces without gradient computation.
3/2/2026
Small Drafts, Big Verdict: Information-Intensive Visual Reasoning via Speculation
Training-free framework for improving vision-language models on information-dense images with text and graphical elements.
3/2/2026
Low-Resource Dialect Adaptation of Large Language Models: A French Dialect Case-Study
Study of continual pre-training for adapting LLMs to low-resource French dialects under tight compute and data constraints.
3/2/2026
Understanding In-Context Learning Beyond Transformers: An Investigation of State Space and Hybrid Architectures
Investigation of in-context learning across transformer, state-space, and hybrid LLM architectures using behavioral and intervention methods.
3/2/2026
User Misconceptions of LLM-Based Conversational Programming Assistants
Study of misconceptions novice programmers have about LLM-based coding assistants, examining impact of tool capabilities and extensions.
3/2/2026
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
Training method combining supervised learning and reinforcement learning to improve multi-step reasoning in open-source LLMs.
3/2/2026
DeepEyesV2: Toward Agentic Multimodal Model
Agentic multimodal model framework enabling tool invocation (code execution, web search) and reasoning integration for vision-language tasks.
3/2/2026
Moral Susceptibility and Robustness under Persona Role-Play in Large Language Models
Analysis of how LLMs shift moral judgments under persona role-play, introducing benchmark metrics for moral susceptibility and robustness.
3/2/2026
NuBench: An Open Benchmark for Deep Learning-Based Event Reconstruction in Neutrino Telescopes
Open benchmark for deep learning-based event reconstruction in neutrino telescope data using inverse problem solving.
3/2/2026
DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone
Diffusion language model using Mamba backbone for efficient inference, achieving higher throughput than transformer-based alternatives.
3/2/2026
SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios
Benchmark for evaluating embodied AI agents on interaction with physical interfaces (switches, panels, GUIs) in complex environments.
3/2/2026
MEDIC: a network for monitoring data quality in collider experiments
Machine learning system for automating data quality monitoring and anomaly detection in particle physics collider experiments.
3/2/2026
SocialNav: Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation
SocialNav foundation model for socially-aware embodied navigation with hierarchical architecture trained on 7M samples for human-compliant trajectory generation.
3/2/2026
Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
Heterogeneous multi-agent reinforcement learning with attention mechanism for automated feature transformation on structured data.
3/2/2026
QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory
QKAN-LSTM combining quantum-inspired Kolmogorov-Arnold networks with LSTM for improved sequential modeling with reduced parameter redundancy.
3/2/2026
WisPaper: Your AI Scholar Search Engine
WisPaper end-to-end agent system for academic literature discovery and organization combining semantic search verification with workflow integration.
3/2/2026
FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models
FRIEDA benchmark evaluating vision-language models on multi-step cartographic reasoning with map interpretation for disaster response and urban planning.
3/2/2026
Smoothing DiLoCo with Primal Averaging for Faster Training of LLMs
Generalized Primal Averaging optimizer extending Nesterov's method for faster LLM training, unifying DiLoCo and schedule-free approaches with reduced memory requirements.