AI Papers - 2026-01-04 episode artwork

EPISODE · Jan 11, 2026 · 6 MIN

AI Papers - 2026-01-04

from DailyArxiv - AI Research Podcast

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.

Episode metadata supplied by the publisher feed · Published Jan 11, 2026

Embed this episode

Ready to play

AI Papers - 2026-01-04

0:00 6:02

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of DailyArxiv - AI Research Podcast?

This episode is 6 minutes long.

When was this DailyArxiv - AI Research Podcast episode published?

This episode was published on January 11, 2026.

Can I download this DailyArxiv - AI Research Podcast episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!