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This is the most misunderstood graph in AI
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to...
This data set helps researchers spot harmful stereotypes in LLMs
AI models are riddled with culturally specific biases. A new data set, called SHADES, is...
This company claims a battery breakthrough. Now they need to prove it.
When a company claims to have created what’s essentially the holy grail of batteries, there...
This AI Paper Proposes a Novel Dual-Branch Encoder-Decoder Architecture for Unsupervised Speech Enhancement (SE)
Can a speech enhancer trained only on real noisy recordings cleanly separate speech and noise—without...
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 LLaDA-V: A Purely Diffusion-Based Multimodal Large Language Model for Visual Instruction Tuning and Multimodal Reasoning
Multimodal large language models (MLLMs) are designed to process and generate content across various modalities...
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...
This AI Paper Introduces GRIT: A Method for Teaching MLLMs to Reason with Images by Interleaving Text and Visual Grounding
The core idea of Multimodal Large Language Models (MLLMs) is to create models that can...
