3 papers
cs.SE2026
Anchored Self-Play for Code Repair
Caroline Choi, Zeyneb Kaya, Shirley Wu +3
Code repair is an important capability for language models (LMs): given a buggy program and unit tests, an LM must produce a fixed program that passes the tests. Because code repai…
cs.LG2026
Test-Time Meta-Adaptation with Self-Synthesis
Zeyneb N. Kaya, Nick Rui
As strong general reasoners, large language models (LLMs) encounter diverse domains and tasks, where the ability to adapt and self-improve at test time is valuable. We introduce MA…
cs.AI2025
The Unified Cognitive Consciousness Theory for Language Models: Anchoring Semantics, Thresholds of Activation, and Emergent Reasoning
Edward Y. Chang, Zeyneb N. Kaya, Ethan Chang
We propose semantic anchoring, a unified account of how large language models turn pretrained capacity into goal-directed behavior: external structure (in-context examples, retriev…