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cs.CL2026
Matryoshka attribution: Learning to attribute language model outputs to representations and weights
Aryaman Arora, Kirill Acharya, Nathan Hu +4
Attributing language model outputs to their internal computations is an open problem in interpretability. Existing methods, which use causal interventions, gradients, or learnable…
cs.CL2025
Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases
Sherman Wong, Zhenting Qi, Zhaodong Wang +8
Real-world software engineering tasks require coding agents that can operate on massive repositories, sustain long-horizon sessions, and reliably coordinate complex toolchains at t…