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cs.CL2026
The First Token Is Not the Verdict: Hidden Costs of Reading LLM Judges Without Generating
Gnaneswar Villuri, Hashmath Shaik, Alex Doboli
Reading an LLM judge's verdict from the logits of its first generated token is cheap, requires no generation, and is exactly what constrained decoding and likelihood-scoring evalua…
cs.CL2026
When Do Internal Probes Beat Reading the Answer? Miscalibrated Readouts and Behavior-Concealed Knowledge in Language Models
Gnaneswar Villuri, Hashmath Shaik, Alex Doboli
A 0.6B language model, asked to verify 1,200 logical conclusions (half valid, half corrupted by a single semantic edit), answers YES every time. Judged by behavior it discriminates…
cs.CL2025
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
Hashmath Shaik, Alex Doboli
Large Language Models offer new opportunities to devise automated implementation generation methods that can tackle problem solving activities beyond traditional methods, which req…