REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.

If you teach English learners, you already know the daily puzzle: a classroom full of students at five or six different ...

Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...

Best way to learn how to code, if done right.

Rust is one of the newest programming languages, and it can change how you see code.

Project Egoist codes are a handy advantage for the soccer heads diving into Roblox’s Egoist arena, easing the early grind as you refine your style on the field. Since the game has a gacha-style ...

Anyone who has ever tried learning a language using flashcards, random apps, or late-night YouTube rabbit holes already knows the problem. Memorizing words isn’t the same as actually speaking a ...

Abstract: Code smells indicate potential design flaws in software systems that can impair maintainability and increase technical debt. While existing approaches have advanced code smell priortization, ...

Trips to South America helped a pair of lifelong best friends from Northampton realize a love of learning Spanish. Now, they’re turning that passion into an app to help other people learn the language ...

This repo is the official PyTorch implementation of CVPR2025 paper "Language Guided Concept Bottleneck Models for Interpretable Continual Learning". We follow the framework of Pilot to implement this ...

Though Harlem has changed dramatically since its storied Renaissance, the magic remains, and the history is still palpable — if one knows where to look. “Signs of the Times: Harlem Markers Project” is ...