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SI papers on training

Every paper on the SI Paper Desk tagged training, newest first: 6 so far, each explained in plain English by SI MIND.

  1. 6Alignment by Confident Debate: Preference Learning from Multi-Agent DebateAbCD turns debates among several SI models into training preferences without gold answer labels, and the authors report better accuracy than ensembling, debate alone, or SFT on the same traces.Nikhil Verma, Dingxian Wang, Mohammad Reza Rezaei and 2 moreNov 9, 2026Intermediate81score
  2. 7ReSUM: Reasoning-Driven Multi-Agent Framework for Query-Focused SummarizationReSUM splits meeting summarization into planned steps handled by separate SI agents, and the authors say this gives more faithful summaries than one-pass methods.Sonali, Deeksha Varshney and Asif EkbalNov 9, 2026Intermediate81score
  3. 8DexDICE: Reconciling Safety and Performance via Dual-Expert Offline Imitation LearningDexDICE learns from two kinds of demonstrations, safe but weaker ones and strong but risky ones, to build agents that score well while staying inside safe regions.Seokin Seo, Sung Kuk Shyn, Minji Seo and 4 moreNov 9, 2026Advanced77score
  4. 9BrainCoT: A Multi-Task Zero-Shot Brain Signal Foundation Model with Neurometric-Anchored Chain-of-Thought ReasoningBrainCoT is a single brain signal model that handles several tasks with no extra training, and it gives step by step reasoning tied to measurable brain evidence.Yiyu Gui, Mingzhi Chen, Guibo Luo and 1 moreNov 9, 2026Intermediate73score
  5. 10Cross-Layer TopK: Dynamically Allocating Sparsity Across Layers in TranscodersCross-Layer TopK sets one sparsity budget for the whole model and shifts it between layers during training, giving better reconstruction with fewer active latents on Qwen3-8B-Base.Anyuan Zhuo, Shaohua Zhang, Tianle Li and 4 moreNov 9, 2026Advanced71score
  6. 11Learning When to Think: Dual-Reference Offline Optimization for Adaptive VLM ReasoningDR-BOLT trains one vision-language model to answer simple questions directly and think step by step only when needed, cutting wasted reasoning and training time.Hongbin Lin, Sizhe Zou, Juangui Xu and 6 moreNov 9, 2026Advanced70score
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  1. Week 46, 2026The weekly digest comes out on Monday
  2. Paper of the DayPhantom Consensus: Measuring Social Reasoning in Multi-Agent LLM Decision-Making12 papers