Daniel Huynh PRO

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upvoted 2 papers 3 days ago

Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models

Paper • 2508.02120 • Published 10 days ago • 16

Attention Basin: Why Contextual Position Matters in Large Language Models

Paper • 2508.05128 • Published 7 days ago • 2

upvoted a paper 15 days ago

MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents

Paper • 2507.19478 • Published 19 days ago • 29

upvoted a paper about 1 month ago

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning

Paper • 2507.00432 • Published Jul 1 • 73

upvoted 6 papers about 2 months ago

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

Paper • 2506.14245 • Published Jun 17 • 40

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents

Paper • 2506.11763 • Published Jun 13 • 69

LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?

Paper • 2506.11928 • Published Jun 13 • 24

Hidden in plain sight: VLMs overlook their visual representations

Paper • 2506.08008 • Published Jun 9 • 8

What Makes a Good Natural Language Prompt?

Paper • 2506.06950 • Published Jun 7 • 11

Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Paper • 2506.09250 • Published Jun 10 • 28

upvoted a paper 4 months ago

Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead

Paper • 2504.00294 • Published Mar 31 • 11

upvoted 9 papers 5 months ago

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 121

Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking

Paper • 2503.19855 • Published Mar 25 • 29

UI-R1: Enhancing Action Prediction of GUI Agents by Reinforcement Learning

Paper • 2503.21620 • Published Mar 27 • 63

Can Large Vision Language Models Read Maps Like a Human?

Paper • 2503.14607 • Published Mar 18 • 10

Where do Large Vision-Language Models Look at when Answering Questions?

Paper • 2503.13891 • Published Mar 18 • 8

On the Acquisition of Shared Grammatical Representations in Bilingual Language Models

Paper • 2503.03962 • Published Mar 5 • 4

How to Steer LLM Latents for Hallucination Detection?

Paper • 2503.01917 • Published Mar 1 • 11

LINGOLY-TOO: Disentangling Memorisation from Reasoning with Linguistic Templatisation and Orthographic Obfuscation

Paper • 2503.02972 • Published Mar 4 • 25

AppAgentX: Evolving GUI Agents as Proficient Smartphone Users

Paper • 2503.02268 • Published Mar 4 • 11