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cs.LG2026
Decodable In-Context State and Model Output Across Training
Manas Venkata Sai Ravulapalli, Samrath Singh Chadha
Prior work established that a probe can decode an in-context binding on model errors and that probe-guided steering can repair some of them. We follow probe accuracy, model output,…
cs.LG2026
In-Context Binding Capacity in Language Models
Manas Venkata Sai Ravulapalli, Samrath Singh Chadha
How many assignments can a language model recall before it loses track of which value belongs to which entity? We measure this limit using continuous recall curves for 12 models at…
cs.LG2026
Legible Failures: Detecting and Repairing In-Context Binding Errors
Manas Venkata Sai Ravulapalli, Samrath Singh Chadha, Abhinav M. Hari
A wrong answer does not show whether the model lacked the needed information or held it and failed to use it. On an entity-obligation binding task, a language model can emit an inc…