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dylanjayabahu/README.md

Dylan Jayabahu

Interpretability and efficient reasoning in language models. Previously an ML Engineering Intern at Shopify, building and evaluating support-triage models.
Computer Science, University of Waterloo · website · linkedin


Papers

The Truth Was Never Gone: Perfect Aliasing in Compliant-Context Truth Probes
Sole author
In the studied binary tasks, compliant truth and action labels coincide, leaving the probes unidentified. Complementary evaluation labels give AUROC(action) = 1 − AUROC(truth). Mixed-context fitting reaches 1.000 versus 0.006 conventional AUROC on Gemma-9B, averaged over three seeds.
code · arXiv
The Halt Vector: Internalizing a Causal Steering Intervention for Efficient Reasoning
First author · COLM 2026, Efficient Reasoning workshop · Spotlight
A causal halt direction at layer 18, moved into the weights. Hook-free per-problem self-halt: −24% thinking at held accuracy, five unseen benchmarks, 24 problems, no RL.
code · arXiv
Deep Learning Model for Invasive Ductal Carcinoma Detection
Sole author · IEEE CCECE 2025
Deep model for invasive ductal carcinoma detection.
repo · IEEE Xplore
Human Action Detection using FMCW mmWave Radar
First author · CVIS 2024
Action recognition off raw radar returns.
JCVIS

Ongoing research

Off-Axis Drift: Internalizing a Halt Direction Needs More Than Its Scalar Projection
First author · with Tinuade Adeleke
Evaluated activation-target training for hook-free early stopping across 1.5B–14B reasoning models, measuring compression, accuracy costs, and cross-domain transfer. Completed a 376-job development comparison of 46 candidate recipes, selecting full-vector and on-axis reconstruction pairs at three shortening targets; held-out validation is pending.
RL training dynamics Dense-checkpoint probing across three historical GRPO seeds shows a gold-free confidence monitor failing to flag a length-penalty reward hack: it holds at 0.71–0.85 while held-out accuracy halves to 0.38–0.48. A four-arm factorial testing sensitivity to GRPO normalization is implemented and pre-registered, not yet run.

Projects

LOB-Engine A small C++20 matching-engine prototype exploring price-time priority, SPSC queues, and pooled order storage.
RAG Tradeoffs Benchmarks retrieval accuracy and latency across context lengths, chunk sizes, and 10+ LLMs.
Firefighter Robot Autonomous maze-solving flame extinguisher. Set course records on two mazes, with recorded demonstrations.
Mr. Nutz Poker robotics combining card perception, poker logic, and integrated hardware.

Pinned Loading

  1. halt-vector halt-vector Public

    The Halt Vector: internalizing a causal steering intervention for efficient reasoning. COLM 2026 Workshop on Efficient Reasoning — Spotlight.

    Python

  2. perfect-aliasing perfect-aliasing Public

    Code, data and paper for 'The Truth Was Never Gone: Perfect Aliasing in Compliant-Context Truth Probes'

    Python

  3. rag-tradeoffs rag-tradeoffs Public

    Stress-testing RAG tradeoffs: Mapping the performance cliff of long-context retrieval vs. chunking strategy on Apple Silicon.

    Python

  4. idc-detection idc-detection Public

    Invasive Ductal Carcinoma detection from histology images with deep learning

    Python 1

  5. firefighter-robot firefighter-robot Public

    Autonomous robot built to locate and extinguish flames in a maze. All-time record setter for Maze 1 & 2 – TEJ4MI final project at Laurel Heights Secondary School.

    Visual Basic .NET

  6. LOB-engine LOB-engine Public

    C++20 limit order book prototype exploring price-time priority, SPSC queues, and pooled order storage.

    C++ 1