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LLMs Can Get "Brain Rot"!
Paper • 2510.13928 • Published • 23 -
AmberYifan/llama3-8b-full-pretrain-mix-low-tweet-1m-en-gpt-sft
Text Generation • 8B • Updated • 1 -
AmberYifan/llama3-8b-full-pretrain-mix-mid-tweet-1m-en-gpt-sft
Text Generation • 8B • Updated • 2 -
AmberYifan/llama3-8b-full-pretrain-mix-high-tweet-1m-en-gpt-sft
Text Generation • 8B • Updated • 3
Shuo Xing
shuoxing
AI & ML interests
MLLMs, LLMs
Recent Activity
updated a collection 2 days ago
LLMs Can Get “Brain Rot”: A Pilot Study on Twitter/X updated a model 2 days ago
shuoxing/llama3-8b-full-pretrain-mix-low-tweet-1m-en updated a model 2 days ago
shuoxing/llama3-8b-full-pretrain-mix-low-tweet-1m-en-sftOrganizations
Papers on the reasoning, rewarding, and understanding of the MLLMs and LLMs
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Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis
Paper • 2506.02096 • Published • 52 -
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation
Paper • 2506.02397 • Published • 36 -
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Paper • 2505.24864 • Published • 146
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BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMs
Paper • 2510.04721 • Published -
FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
Paper • 2505.02735 • Published • 33 -
PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts
Paper • 2504.18428 • Published -
MathConstruct: Challenging LLM Reasoning with Constructive Proofs
Paper • 2502.10197 • Published
-
LLMs Can Get "Brain Rot"!
Paper • 2510.13928 • Published • 23 -
AmberYifan/llama3-8b-full-pretrain-mix-low-tweet-1m-en-gpt-sft
Text Generation • 8B • Updated • 1 -
AmberYifan/llama3-8b-full-pretrain-mix-mid-tweet-1m-en-gpt-sft
Text Generation • 8B • Updated • 2 -
AmberYifan/llama3-8b-full-pretrain-mix-high-tweet-1m-en-gpt-sft
Text Generation • 8B • Updated • 3
-
BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMs
Paper • 2510.04721 • Published -
FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
Paper • 2505.02735 • Published • 33 -
PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts
Paper • 2504.18428 • Published -
MathConstruct: Challenging LLM Reasoning with Constructive Proofs
Paper • 2502.10197 • Published
Papers on the reasoning, rewarding, and understanding of the MLLMs and LLMs
-
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis
Paper • 2506.02096 • Published • 52 -
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation
Paper • 2506.02397 • Published • 36 -
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Paper • 2505.24864 • Published • 146