--- title: "Eric Hambro — author profile and papers" description: "Eric Hambro: 2 papers on Elamur Research (2023), h-index 7 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/eric-hambro/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/eric-hambro/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Eric Hambro # Eric Hambro Eric Hambro's papers here deal with [language models and pretraining](https://md.research.elamur.ai/free/en/topics/language-models/). They cover two connected questions: how to build foundation models that perform well while staying cheap to run, and how the later stages of fine-tuning change what those models do. The methods are empirical. The work trains models on openly available text, and it compares the stages of a training pipeline under controlled conditions to see what each one adds. The most cited work is [LLaMA: Open and Efficient Foundation Language Models](https://md.research.elamur.ai/free/en/papers/touvron-2023-llama-open-efficient-foundation-language/) (2023). It argues that inference cost, rather than training budget alone, should guide model design once a model is deployed widely. The paper trains a family of transformer models on many more tokens than the Chinchilla scaling laws suggest. The training corpus draws only on public sources such as filtered CommonCrawl, Wikipedia, GitHub, arXiv and books. The other paper from the same year, [Understanding the Effects of RLHF on LLM Generalisation and Diversity](https://md.research.elamur.ai/free/en/papers/kirk-2023-understanding-effects-rlhf-llm-generalisation/), turns from pretraining to alignment. It takes apart the usual RLHF pipeline of supervised fine-tuning, reward modelling and PPO-based reinforcement learning. It then measures how each stage affects robustness to unfamiliar inputs and the variety of generated outputs, using best-of-N sampling to separate the reward model's influence from that of the optimiser. Hambro's bylines between 2021 and 2023 list [University College London](https://md.research.elamur.ai/free/en/universities/university-college-london/). The LLaMA work was written with a Meta AI team including [Hugo Touvron](https://md.research.elamur.ai/free/en/authors/hugo-touvron/), [Gautier Izacard](https://md.research.elamur.ai/free/en/authors/gautier-izacard/) and [Armand Joulin](https://md.research.elamur.ai/free/en/authors/armand-joulin/). The RLHF study was co-authored with [Roberta Raileanu](https://md.research.elamur.ai/free/en/authors/roberta-raileanu/) and [Edward Grefenstette](https://md.research.elamur.ai/free/en/authors/edward-grefenstette/), among others. Eric Hambro has 2 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Armand Joulin](https://md.research.elamur.ai/free/en/authors/armand-joulin/), [Aurelien Rodriguez](https://md.research.elamur.ai/free/en/authors/aurelien-rodriguez/), [Baptiste Rozière](https://md.research.elamur.ai/free/en/authors/baptiste-roziere/). 2 papers in our library · 2023 [OpenAlex](https://openalex.org/A5048121353) · [**h-index 7**](https://openalex.org/authors/A5048121353) · [14 works](https://openalex.org/works?filter=author.id:A5048121353) · [4,881 citations](https://openalex.org/works?filter=author.id:A5048121353&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/eric-hambro/#papers) · [🔗 5,824 citations in our library](https://md.research.elamur.ai/free/en/authors/eric-hambro/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Star rank #444](https://md.research.elamur.ai/free/en/paper-stars/page/5/#star-444) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Eric+Hambro) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Eric+Hambro) · [dblp](https://dblp.org/search?q=Eric+Hambro) · [ACL Anthology](https://aclanthology.org/search/?q=Eric+Hambro) ## Affiliations [🎓**University College London** London · United Kingdom 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-college-london/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Topics [Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/eric-hambro/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[LLaMA: Open and Efficient Foundation Language Models](https://md.research.elamur.ai/free/en/papers/touvron-2023-llama-open-efficient-foundation-language/)** *(2023 · 5,609 citations)* The authors from Meta AI challenge the widespread assumption that more parameters automatically yield better quality. 2. **[Understanding the Effects of RLHF on LLM Generalisation and Diversity](https://md.research.elamur.ai/free/en/papers/kirk-2023-understanding-effects-rlhf-llm-generalisation/)** *(2023 · 131 citations)* Kirk et al. examine what each stage of the standard RLHF pipeline contributes to two properties of fine-tuned LLMs. The stages are supervised fine-tuning (SFT), reward modelling and PPO-based reinforcement learning. The two properties are handling inputs unlike the training data (OOD generalisation) and the variety… ## Also in our library 2 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Armand Joulin](https://md.research.elamur.ai/free/en/authors/armand-joulin/) - [Aurelien Rodriguez](https://md.research.elamur.ai/free/en/authors/aurelien-rodriguez/) - [Baptiste Rozière](https://md.research.elamur.ai/free/en/authors/baptiste-roziere/) - [Christoforos Nalmpantis](https://md.research.elamur.ai/free/en/authors/christoforos-nalmpantis/) - [Edward Grefenstette](https://md.research.elamur.ai/free/en/authors/edward-grefenstette/) - [Gautier Izacard](https://md.research.elamur.ai/free/en/authors/gautier-izacard/) - [Hugo Touvron](https://md.research.elamur.ai/free/en/authors/hugo-touvron/) - [Marie-Anne Lachaux](https://md.research.elamur.ai/free/en/authors/marie-anne-lachaux/) - [Naman Goyal](https://md.research.elamur.ai/free/en/authors/naman-goyal/) - [Roberta Raileanu](https://md.research.elamur.ai/free/en/authors/roberta-raileanu/) - [Thibaut Lavril](https://md.research.elamur.ai/free/en/authors/thibaut-lavril/) - [Timothée Lacroix](https://md.research.elamur.ai/free/en/authors/timothee-lacroix/) ## Cited by Papers of our library cite their works 5,824 times (of the 140,884 papers whose bibliographies we read); [382 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/eric-hambro/cited-by/).