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cs.CL2026
Do Value Vectors in Deep Layers Need Context from the Residual Stream?
Muyu He, Yuchen Liu, Qingya Huang +1
The success of the transformer architecture is in large part due to its use of attention layers. An attention layer follows the standard neural network paradigm: it takes the resid…
cs.CL2026
: Benchmarking AI Agents for Long-Term Planning and Consistent Execution
Muyu He, Adit Jain, Anand Kumar +4
As LLM agents tackle increasingly complex tasks, a critical question is whether they can maintain strategic coherence over long horizons: planning under uncertainty, learning from…