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Latest Research — Page 35

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• Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments
• The Zero-Step Thinking: An Empirical Study of Mode Selection as Harder Early Exit in Reasoning Models
• Panel-by-Panel Souls: A Performative Workflow for Expressive Faces in AI-Assisted Manga Creation
• Enhancing Geo-localization for Crowdsourced Flood Imagery via LLM-Guided Attention
• KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering
• RADAR: Accelerate Large Language Model Inference With RL-Based Dynamic Draft Trees
• Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification
• TurboBoA: Faster and Exact Attention-aware Quantization without Backpropagation
• Ctrl&Shift: High-Quality Geometry-Aware Object Manipulation in Visual Generation
• NOWJ @BioCreative IX ToxHabits: An Ensemble Deep Learning Approach for Detecting Substance Use and Contextual Information in Clinical Texts
• SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm
• Improving Language Identification for Code-Switched Utterances with Integer Linear Programming
• LiteGE: Lightweight Geodesic Embedding for Efficient Geodesics Computation and Non-Isometric Shape Correspondence
• Instruction Tuning of Large Language Models for Tabular Data Generation-in One Day
• VC4VG: Optimizing Video Captions for Text-to-Video Generation
• Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping
• UniComp: A Unified Evaluation of Large Language Model Compression via Pruning, Quantization, and Distillation
• Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks
• From Attribution to Action: Jointly ALIGNing Predictions and Explanations
• ZeroS: Zero-Sum Linear Attention for Efficient Transformers
• SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis
• Sources of Truth: A Multi-Platform, Multilingual Audit of Citations in AI Mental Health Information Queries
• Learning to Approximate Uniform Facility Location via Graph Neural Networks
• AREAs-Lab: An Interactive Environment for AI-driven Requirement Elicitation for AI Systems
• UniJEPA: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning
• PAC-Bayesian Reinforcement Learning Trains Generalizable Policies
• REALM: An MLLM-Agent Framework for Open World 3D Reasoning Segmentation and Editing on Gaussian Splatting
• Multimodal Model Diffing for Feature Discovery and Control
• Data-Efficient Adaptation of LLMs via Attention Head Reweighting
• Neural Theorem Proving for Verification Conditions: A Real-World Benchmark
• MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training
• Reward Models Inherit Value Biases from Pretraining
• EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning in Vision Transformers
• C$^3$TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation
• Data-efficient U-Net for Segmentation of Carbide Microstructures in SEM Images of Steel Alloys
• Do All Individual Layers Help? An Empirical Study of Task-Interfering Layers in Vision-Language Models
• TAUE: Training-free Noise Transplant and Cultivation Diffusion Model
• When Data is the Algorithm: A Systematic Study and Curation of Preference Optimization Datasets
• Dual Randomized Smoothing: Beyond Global Noise Variance
• Atlas: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning