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RL Excursions during Pre-Training: Re-examining Policy Optimization for LLM training
arXiv:2606.04272v1 Announce Type: new Abstract: The standard LLM training pipeline applies reinforcement learning (RL) only after pre-training and supervised fine-tuning (SFT). We question this status quo by training a LLM from scratch and applying RL, SFT, and SFT followed by RL directly to intermediate pre-training checkpoints. We find that RL is effective very early, and often matches the full SFT$\to$RL pipeline early as well.
Self-Trained Verification for Training- and Test-Time Self-Improvement
arXiv:2605.30290v2 Announce Type: replace Abstract: Self-improvement at scale has been a longstanding goal for reasoning models, and there are two natural places to do it: at test time, through verification-refinement (V-R) loops; and at training time, through self-training methods. Both are gated by the same bottleneck: the verifier. V-R loops stall when verifier scores inflate while accuracy stagnates, and when feedback is too generic to act on; self-training fails similarly when bad...
Stop Training for the Worst: Progressive Unmasking Accelerates Masked Diffusion Training
arXiv:2602.10314v2 Announce Type: replace Abstract: Masked Diffusion Models (MDMs) have emerged as a promising approach for generative modeling in discrete spaces. By generating sequences in any order and allowing for parallel decoding, they enable fast inference and strong performance on non-causal tasks. However, this flexibility comes with a training complexity trade-off: MDMs train on an exponentially large set of masking patterns, which is not only computationally expensive, but also...
Retrieval, Reward, and Training Protocols: What Matters in Training Search Agents?
Announce Type: replace Abstract: Search agents powered by large language models can autonomously decompose queries, retrieve information, and synthesize answers through multi-step reasoning. However, the rapid growth of training methods has outpaced controlled comparison: existing works differ in retrieval corpora, reward designs, and training protocols, making it unclear what actually drives improvements. We present a controlled empirical study that isolates three under-explored dimensions...
Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model
Announce Type: replace Abstract: Reinforcement learning (RL) has become essential for post-training large language models (LLMs) in reasoning tasks. While scaling rollouts can stabilize training and enhance performance, the computational overhead is a critical issue. In algorithms like GRPO, multiple rollouts per prompt incur prohibitive costs, as a large portion of prompts provide negligible gradients and are thus of low utility.
Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training
arXiv:2602.00747v3 Announce Type: replace Abstract: Determining an effective data mixture is a key factor in Large Language Model (LLM) pre-training, where models must balance general competence with proficiency on hard tasks such as math and code. However, identifying an optimal mixture remains an open challenge, as existing approaches either rely on unreliable tiny-scale proxy experiments or require prohibitively expensive large-scale exploration. To address this, we propose Decouple...
Heat Training Grant 2025 Mid-scheme Review: heat pump installers
Heat Training Grant 2025 Mid-scheme Review: heat pump installers Findings from the Heat Training Grant 2025 Mid-scheme Review, based on a survey of people who completed heat pump installation training under the scheme. Applies to England Documents Details The Heat Training Grant (HTG) provides heating engineers with grants of up to £500 towards eligible heat pump or heat network installation training in England.
Weight training and press-ups are key to living longer, study suggests
Weight training and press-ups are key to living longer, study suggests Study in British Journal of Sports Medicine shows importance of strength training such as dumbbell work, squats and lunges Doing weight training each week helps us live longer, research suggests. Experts say resistance training such as lifting or push ups are vital as we age and are urging people not to only do aerobic exercise like jogging. Their research shows that people who did 90 minutes to two hours of resistance...
Woman killed in ‘random’ stabbing on MARTA train in Atlanta
Woman killed in ‘random’ stabbing on MARTA train in Atlanta Video from the train showed the unprovoked attack as the victim was stabbed up to 20 times - Bookmark A 25-year-old man has been charged with murder after allegedly stabbing a woman to death on an Atlanta commuter train in an apparently random attack. John Elijah Matthews was arrested around noon Saturday, moments after he stepped off the Metropolitan Atlanta Rapid Transit Authority train at the Oakland City Station. First...
Consistency Training Along the Transformer Stack
Announce Type: new Abstract: Consistency training encourages models to behave similarly across different contexts, and has shown promise for reducing misalignment. We broaden the scope of consistency training in two ways. First, we introduce two new internal consistency targets: MLP Consistency Training (MLPCT), which matches post-activation MLP states, and Attention Consistency Training (AttCT), which matches per-head attention distributions.