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SuperThoughts: Reasoning Tokens in Superposition
SuperThoughts: Reasoning Tokens in Superposition

SuperThoughts is a novel framework designed to accelerate the Chain-of-Thought (CoT) reasoning process in large language models by processing tokens …

2 months, 1 week ago

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First-Explore PPO : Learning Meta-Exploration with Proximal Policy Optimization
First-Explore PPO : Learning Meta-Exploration with Proximal Policy Optimization

This research paper introduces First-Explore Proximal Policy Optimization (FE-PPO), a new reinforcement learning algorithm designed to improve how ag…

2 months, 2 weeks ago

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Self-Distillation for Data-Scarce Language Model Pretraining
Self-Distillation for Data-Scarce Language Model Pretraining

This research paper investigates self-distillation as a powerful regularization technique for pretraining language models when high-quality data is i…

2 months, 2 weeks ago

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Meta-Harness for Agent-State Construction
Meta-Harness for Agent-State Construction

eta-Harness is an advanced optimization system designed to improve how language-model agents process and compress long interaction histories into use…

2 months, 2 weeks ago

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ExpRL: Using Reference Solutions as Rewards for LLM Mid-Training
ExpRL: Using Reference Solutions as Rewards for LLM Mid-Training

Exploratory RL (ExpRL) is an automated mid-training method designed to enhance the reasoning capabilities of large language models before they underg…

2 months, 2 weeks ago

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Valid Inference with Synthetic Data via Task Exchangeability
Valid Inference with Synthetic Data via Task Exchangeability

This paper introduces a statistical framework for making valid scientific discoveries using synthetic data, specifically addressing concerns that art…

2 months, 2 weeks ago

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GRPO is Secretly a Process Reward Model
GRPO is Secretly a Process Reward Model

This paper establishs that Group Relative Policy Optimization (GRPO), while appearing to use only final outcome rewards, inherently functions as a Pr…

2 months, 3 weeks ago

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Agentic Interactions
Agentic Interactions

This paper explores how AI agents inherit and potentially amplify human heterogeneity when tasked with negotiating on behalf of individuals. By compa…

2 months, 3 weeks ago

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A Unifying View of Attention Sinks: Two Algorithms, Two Solutions
A Unifying View of Attention Sinks: Two Algorithms, Two Solutions

This research investigates the nature of attention sinks, which are specific tokens in Transformer models that attract disproportionate attention. Th…

2 months, 3 weeks ago

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From AGI to ASI
From AGI to ASI

This report from Google DeepMind explores the hypothetical transition from Artificial General Intelligence (AGI), which matches human capability, to …

2 months, 3 weeks ago

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