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cs.LG2026
A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
Raghu Arghal, Fade Chen, Niall Dalton +6
Understanding an agent's goals helps explain and predict its behaviour, yet there is no established methodology for reliably attributing goals to agentic systems. We propose a fram…
cs.LG2024
Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents
Evgenii Kortukov, Alexander Rubinstein, Elisa Nguyen +1
Retrieval-augmented generation (RAG) mitigates many problems of fully parametric language models, such as temporal degradation, hallucinations, and lack of grounding. In RAG, the m…