Yiderigun Borjigin

Research and artifacts

Behavioral evaluation of LLMs

Controlled benchmarks that hold the evidence fixed and vary one causal factor at a time, run across open-weight and frontier models, to measure when context rather than evidence decides the answer.

Chain-of-thought faithfulness and interpretability

Residual-stream activation patching, donor-state and layer-sweep interventions, and logit-lens attribution to locate where a reasoning trace becomes causally load-bearing.

AI for science: text interfaces for PDE modeling

Reliability metrics for the interface between numerical data and language models, including inverse parameter estimation under zero-shot, in-context, and LoRA/QLoRA regimes.

14,400 released prompts with gold answers and anchor values; seed-controlled deterministic generation, one shared parser across all conditions (median parse rate 99.9%), and SHA-256 checksums linking every published number to the raw generations behind it.