Ryker Chang

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upvoted a paper 6 days ago

MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research

Paper • 2505.19955 • Published May 26 • 13

upvoted a paper 7 days ago

DoPE: Denoising Rotary Position Embedding

Paper • 2511.09146 • Published 13 days ago • 89

upvoted 7 papers about 1 month ago

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 485

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 264

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29 • 137

The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Paper • 2509.26507 • Published Sep 30 • 532

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 224

Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4 • 192

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 659

upvoted a paper 2 months ago

Fast Transformer Decoding: One Write-Head is All You Need

Paper • 1911.02150 • Published Nov 6, 2019 • 9

upvoted 4 articles 2 months ago

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Article

Accelerate ND-Parallel: A guide to Efficient Multi-GPU Training

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Aug 8

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82

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Article

From Zero to GPU: A Guide to Building and Scaling Production-Ready CUDA Kernels

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Aug 18

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88

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Article

Tricks from OpenAI gpt-oss YOU 🫵 can use with transformers

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Sep 11

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163

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Article

Welcome EmbeddingGemma, Google's new efficient embedding model

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Sep 4

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259

upvoted an article 3 months ago

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Article

Why SGLang is a Game-Changer for LLM Workflows

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Jul 7

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9

upvoted 2 papers 3 months ago

Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 120

Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory

Paper • 2508.09736 • Published Aug 13 • 56

upvoted a collection 5 months ago

mechanistic interpretability with sparse autoencoders

Collection

A collection of papers that I found useful for learning about using Sparse Autoencoders for finding interpretable features in language models • 9 items • Updated Sep 3, 2024 • 3

upvoted 2 papers 8 months ago

Survey on Evaluation of LLM-based Agents

Paper • 2503.16416 • Published Mar 20 • 95

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Paper • 2503.16419 • Published Mar 20 • 75