---
title: "Graham Neubig — papers of 2024 — Elamur Research"
description: "Graham Neubig — papers of 2024: 10 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Graham Neubig — papers of 2024 — Elamur Research

10 papers · [all years of Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/#years)

- [Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models arXiv:2405.01535](https://md.research.elamur.ai/free/en/papers/kim-2024-prometheus-2-open-source-language/) — Seungone Kim, Juyoung Suk, Shayne Longpre, et al. · 2024 · 234 citations

**[VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks](https://md.research.elamur.ai/free/en/papers/koh-2024-visualwebarena-evaluating-multimodal-agents-realistic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jing Yu Koh, Robert Lo, Lawrence Jang, et al.*2024 · 184 citations*

**[Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design](https://md.research.elamur.ai/free/en/papers/tjuatja-2024-do-llms-exhibit-human-like/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Lindia Tjuatja, Valerie Chen, Tongshuang Wu, et al.*2024 · 140 citations*

**[Large Language Models Enable Few-Shot Clustering](https://md.research.elamur.ai/free/en/papers/viswanathan-2024-large-language-models-enable-few/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, et al.*2024 · 111 citations*

- [Fine-grained Hallucination Detection and Editing for Language Models arXiv:2401.06855](https://md.research.elamur.ai/free/en/papers/mishra-2024-fine-grained-hallucination-detection-editing/) — Abhika Mishra, Akari Asai, Vidhisha Balachandran, et al. · 2024 · 100 citations
- [Agent Workflow Memory arXiv:2409.07429](https://md.research.elamur.ai/free/en/papers/wang-2024-agent-workflow-memory/) — Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, et al. · 2024 · 86 citations
- [Repetition Improves Language Model Embeddings arXiv:2402.15449](https://md.research.elamur.ai/free/en/papers/springer-2024-repetition-improves-language-model-embeddings/) — Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, et al. · 2024 · 73 citations
- [From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models arXiv:2406.16838](https://md.research.elamur.ai/free/en/papers/welleck-2024-decoding-meta-generation-inference-time/) — Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al. · 2024 · 51 citations

**[MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures](https://md.research.elamur.ai/free/en/papers/ni-2024-mixeval-deriving-wisdom-crowd-llm/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jinjie Ni, Fuzhao Xue, Xiang Yue, et al.*2024 · 47 citations*

- [An Incomplete Loop: Deductive, Inductive, and Abductive Reasoning in Language Models arXiv:2404.03028](https://md.research.elamur.ai/free/en/papers/liu-2024-incomplete-loop-deductive-inductive-abductive/) — Emmy Liu, Graham Neubig, Jacob Andreas · 2024 · 12 citations