Rachel Lawrence

Researcher

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Publications

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- Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization
  
  Yan Scholten, Rachel Lawrence, James Hensman, Stephan Gunnemann, Alicia Curth, Riccardo Grazzi
  
  October 2026
  
  arXiv | October 2026
  
  Publication
- Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks
  
  Wasu Top Piriyakulkij, Rachel Lawrence, Alicia Curth, Sushrut Karmalkar, Niranjani Prasad
  
  September 2026
  
  arXiv | September 2026
  
  Publication
- Position: Reasoning is a Learnable Rule-Based Process
  
  Rachel Lawrence, Jacqueline Maasch
  
  ICML 2026 | June 2026
  
  Publication
- Position: Beyond Reasoning Zombies — AI Reasoning Requires Process Validity
  
  Rachel Lawrence, Jacqueline Maasch
  
  ICLM 2026 | May 2026
  
  Preprint
  
  PDF
- Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task
  
  A. Curth, Rachel Lawrence, Sushrut Karmalkar, Niranjani Prasad
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- A Fourier Space Perspective on Diffusion Models
  
  Fabian Falck, Teodora Pandeva, Kiarash Zahirnia, Rachel Lawrence, Richard Turner, Edward Meeds, Javier Zazo, Sushrut Karmalkar
  
  May 2025
  
  Publication
- Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
  
  Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
  
  Publication PDF

- Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization
  
  Yan Scholten, Rachel Lawrence, James Hensman, Stephan Gunnemann, Alicia Curth, Riccardo Grazzi
  
  October 2026
  
  arXiv | October 2026
  
  Publication
- Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks
  
  Wasu Top Piriyakulkij, Rachel Lawrence, Alicia Curth, Sushrut Karmalkar, Niranjani Prasad
  
  September 2026
  
  arXiv | September 2026
  
  Publication
- Position: Reasoning is a Learnable Rule-Based Process
  
  Rachel Lawrence, Jacqueline Maasch
  
  ICML 2026 | June 2026
  
  Publication
- Position: Beyond Reasoning Zombies — AI Reasoning Requires Process Validity
  
  Rachel Lawrence, Jacqueline Maasch
  
  ICLM 2026 | May 2026
  
  Preprint
  
  PDF
- Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task
  
  A. Curth, Rachel Lawrence, Sushrut Karmalkar, Niranjani Prasad
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- A Fourier Space Perspective on Diffusion Models
  
  Fabian Falck, Teodora Pandeva, Kiarash Zahirnia, Rachel Lawrence, Richard Turner, Edward Meeds, Javier Zazo, Sushrut Karmalkar
  
  May 2025
  
  Publication
- Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
  
  Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
  
  Publication PDF
- Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization
  
  Yan Scholten, Rachel Lawrence, James Hensman, Stephan Gunnemann, Alicia Curth, Riccardo Grazzi
  
  October 2026
  
  arXiv | October 2026
  
  Publication
- Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task
  
  A. Curth, Rachel Lawrence, Sushrut Karmalkar, Niranjani Prasad
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization
  
  Yan Scholten, Rachel Lawrence, James Hensman, Stephan Gunnemann, Alicia Curth, Riccardo Grazzi
  
  October 2026
  
  arXiv | October 2026
  
  Publication
- Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks
  
  Wasu Top Piriyakulkij, Rachel Lawrence, Alicia Curth, Sushrut Karmalkar, Niranjani Prasad
  
  September 2026
  
  arXiv | September 2026
  
  Publication
- A Fourier Space Perspective on Diffusion Models
  
  Fabian Falck, Teodora Pandeva, Kiarash Zahirnia, Rachel Lawrence, Richard Turner, Edward Meeds, Javier Zazo, Sushrut Karmalkar
  
  May 2025
  
  Publication

- Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization
  
  Yan Scholten, Rachel Lawrence, James Hensman, Stephan Gunnemann, Alicia Curth, Riccardo Grazzi
  
  October 2026
  
  arXiv | October 2026
  
  Publication
- Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks
  
  Wasu Top Piriyakulkij, Rachel Lawrence, Alicia Curth, Sushrut Karmalkar, Niranjani Prasad
  
  September 2026
  
  arXiv | September 2026
  
  Publication
- Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task
  
  A. Curth, Rachel Lawrence, Sushrut Karmalkar, Niranjani Prasad
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Position: Reasoning is a Learnable Rule-Based Process
  
  Rachel Lawrence, Jacqueline Maasch
  
  ICML 2026 | June 2026
  
  Publication
- Position: Beyond Reasoning Zombies — AI Reasoning Requires Process Validity
  
  Rachel Lawrence, Jacqueline Maasch
  
  ICLM 2026 | May 2026
  
  Preprint
  
  PDF
- Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
  
  Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
  
  Publication PDF
- A Fourier Space Perspective on Diffusion Models
  
  Fabian Falck, Teodora Pandeva, Kiarash Zahirnia, Rachel Lawrence, Richard Turner, Edward Meeds, Javier Zazo, Sushrut Karmalkar
  
  May 2025
  
  Publication

Rachel Lawrence

Publications

Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization

Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks

Position: Reasoning is a Learnable Rule-Based Process

Position: Beyond Reasoning Zombies — AI Reasoning Requires Process Validity

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task

A Fourier Space Perspective on Diffusion Models

Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation

Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization

Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks

Position: Reasoning is a Learnable Rule-Based Process

Position: Beyond Reasoning Zombies — AI Reasoning Requires Process Validity

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task

A Fourier Space Perspective on Diffusion Models

Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation

Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task

Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization

Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks

A Fourier Space Perspective on Diffusion Models

Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization

Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task

Position: Reasoning is a Learnable Rule-Based Process

Position: Beyond Reasoning Zombies — AI Reasoning Requires Process Validity

Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation

A Fourier Space Perspective on Diffusion Models

Contact Rachel Lawrence

Microsoft Research Cambridge