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AI Papers - 2026-01-04

AI Papers - 2026-01-04

Published 6 months, 3 weeks ago
Description
Today's top AI research papers from arXiv: - GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization: https://arxiv.org/abs/2601.05242v1 - Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop: https://arxiv.org/abs/2601.05184v1 - ConMax: Confidence-Maximizing Compression for Efficient Chain-of-Thought Reasoning: https://arxiv.org/abs/2601.04973v1 - Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Large Reasoning Models: https://arxiv.org/abs/2601.05144v1 - AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms?: https://arxiv.org/abs/2601.04996v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.
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