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This AI Paper Investigates Test-Time Scaling of English-Centric RLMs for Enhanced Multilingual Reasoning and Domain Generalization

Reasoning language models, or RLMs, are increasingly used to simulate step-by-step problem-solving by generating long...

This AI Paper Introduces WINGS: A Dual-Learner Architecture to Prevent Text-Only Forgetting in Multimodal Large Language Models

Multimodal LLMs: Expanding Capabilities Across Text and Vision Expanding large language models (LLMs) to handle...

This AI Paper Introduces WEB-SHEPHERD: A Process Reward Model for Web Agents with 40K Dataset and 10× Cost Efficiency

Web navigation focuses on teaching machines how to interact with websites to perform tasks such...

This AI Paper Introduces PyVision: A Python-Centric Framework Where AI Writes Tools as It Thinks

Visual reasoning tasks challenge artificial intelligence models to interpret and process visual information using both...

This AI Paper Introduces MathCoder-VL and FigCodifier: Advancing Multimodal Mathematical Reasoning with Vision-to-Code Alignment

Multimodal mathematical reasoning enables machines to solve problems involving textual information and visual components like...

This AI Paper Introduces Group Think: A Token-Level Multi-Agent Reasoning Paradigm for Faster and Collaborative LLM Inference

A prominent area of exploration involves enabling large language models (LLMs) to function collaboratively. Multi-agent...

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