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Our group has a few papers at ACL 2026 in San Diego (2–7 July) and ICML 2026 in Seoul (6–11 July, at the COEX Convention & Exhibition Center), covering GUI agents, efficient generation, reasoning, robustness, and mechanistic interpretability.

I’ve been running a small benchmark, harness-bench, that pairs local LLMs (served via llama.cpp’s llama-server) with agent harnesses (Aider, Claude Code, OpenCode, Pi, Qwen CLI) on 16 software-engineering tasks across Python, PyTorch, JAX, C, C++, Rust, a…

To make my life a bit easier, I built deep-research-mcp, a small Python agent that exposes several “deep research” backends through a single Model Context Protocol server (Anthropic, 2024).

Assume we have a scalar function $f(x)$ of interest, such as a reward we want to maximise or a loss we want to minimise, and that $x$ is drawn from a distribution $p_{\theta}(x)$ parameterised by $\theta$.

Academic research sometimes risks to be disconnected from real-world applications.

We have been working on language model evaluation, knowledge utilization, efficiency, and multimodal reasoning.

Amazing opportunity to join our team at the School of Informatics, University of Edinburgh!

My amazing collaborators will be presenting three papers at EMNLP 2024 (main track), a leading conference in natural language processing, happening in Miami later this month!

My amazing collaborators will be presenting several works at ACL 2024, ICML 2024, and CoLM 2024 in the upcoming weeks/months!

We have an opening for a 3-year postdoc – more details are available here – on a project funded by Huawei via the Huawei-Edinburgh Joint Lab initiative, with me as the Principal Investigator (PI).