10. Deep Delta Learning Deep Delta Learning introduces a novel “Delta Operator” that generalizes residual connections by modulating the identity shortcut with a learnable, data-dependent geometric transformation.
@dair_ai
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SWE-EVO Benchmark for Long-Horizon Software Evolution Tasks
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9. SWE-EVO SWE-EVO introduces a benchmark for evaluating coding agents on long-horizon software evolution tasks that require multi-step modifications spanning an average of 21 files per task.
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SciSciGPT: Open-Source AI Research Collaborator for Science
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8. SciSciGPT SciSciGPT is an open-source AI collaborator that uses the science of science domain as a testbed for LLM-powered research tools.
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Confucius Code Agent: Large-Scale Codebase Engineering
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7. Confucius Code Agent Confucius Code Agent (CCA) is a software engineering agent designed to operate on large-scale codebases.
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Nemotron-Cascade: Cascaded Reinforcement Learning for Reasoning Models
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4. Nemotron-Cascade Nemotron-Cascade introduces cascaded domain-wise reinforcement learning (Cascade RL) to build general-purpose reasoning models capable of operating in both instruct and deep thinking modes.
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LLMs Evolve Competing Programs in Digital Red Queen Algorithm
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3. Adversarial Program Evolution with LLMs
— DAIR.AI (@dair_ai) 11 janvier 2026
Digital Red Queen (DRQ) introduces an algorithm where LLMs evolve assembly-like programs called “warriors” that compete for control of a virtual machine in the game of Core War.https://t.co/u2OBC5HFxV3. Adversarial Program Evolution with LLMs Digital Red Queen (DRQ) introduces an algorithm where LLMs evolve assembly-like programs called “warriors” that compete for control of a virtual machine in the game of Core War.
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Recursive Language Models: Extended Context Processing Strategy
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2. Recursive Language Models Recursive Language Models (RLMs) are a general inference strategy that allows LLMs to process arbitrarily long prompts by treating them as part of an external environment.
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Scaling Compute Limits: Sara Hooker Challenges AI Growth Assumptions
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1. On the Slow Death of Scaling This essay by Sara Hooker challenges the decade-long assumption that scaling compute always leads to better AI performance.
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Top AI Research Papers: Agents, LLMs, and Scaling Evolution
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The Top AI Papers of the Week (January 5-11) – GDPO
– SWE-EVO
– Deep Delta Learning
– Confucius Code Agent
– Recursive Language Models
– On the Slow Death of Scaling
– Adversarial Program Evolution with LLMs Read on for more: -
Single Agent Skills vs Multi-Agent Systems Efficiency
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Can a single agent with skills replace multi-agent systems? Multi-agent systems work well for complex reasoning where specialized agents collaborate through explicit communication. But this incurs substantial computational overhead in tokens and latency. This new research