Browse State-of-the-Art › Language Model Evaluation
Language Model Evaluation
31 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
The task of using LLMs as evaluators of large language and vision language models.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
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Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
30 shown of 31 papers with code (69 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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28 Dec 2023 2 repositories listedIn this work, we introduce a novel evaluation paradigm for Large Language Models (LLMs) that compels them to transition from a traditional question-answering role, akin to a student, to a solution-scoring role, akin to…
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25 Aug 2023 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)This design suffers from data leakage problem and lacks the evaluation of subjective Q/A ability.
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30 Jun 2022 2 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedTraining and evaluating language models increasingly requires the construction of meta-datasets --diverse collections of curated data with clear provenance.
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30 May 2025 1 repository listedFABLE provides the first diagnostic benchmark to systematically evaluate data-flow reasoning and offers insights for developing models with stronger procedural understanding.
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19 May 2025 1 repository listedLarge Language Models (LLMs) demonstrate a notable capacity for adopting personas and engaging in role-playing.
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17 Feb 2025 1 repository listedAspect-based sentiment analysis (ABSA) is a crucial task in information extraction and sentiment analysis, aiming to identify aspects with associated sentiment elements in text.
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10 Jan 2025 1 repository listedGenerative AI holds significant potential for ecological and environmental applications such as monitoring, data analysis, education, and policy support.
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6 Jan 2025 1 repository listedThe rapid development of vision language models (VLMs) demands rigorous and reliable evaluation.
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11 Dec 2024 1 repository listedModels tuned on our augmented dataset achieve the best overall performance when compared with the same scale MLMs tuned on at most 75 times the scale of our augmented dataset, highlighting the importance of instruction…
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6 Dec 2024 1 repository listedRecent advances in large language models (LLMs) have shown significant promise, yet their evaluation raises concerns, particularly regarding data contamination due to the lack of access to proprietary training data.
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6 Dec 2024 1 repository listed Syntology ran 1 of 16 samples · 15 unverified · 16 pointer-only (licence)Recent advances in self-supervised models for natural language, vision, and protein sequences have inspired the development of large genomic DNA language models (DNALMs).
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14 Oct 2024 1 repository listedWhile traditional metrics like Matrix Entropy offer valuable insights, they are computationally intensive for large-scale models due to their O(n³) time complexity with Singular Value Decomposition (SVD).
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11 Oct 2024 1 repository listedThe advancement of large language models (LLMs) has led to a greater challenge of having a rigorous and systematic evaluation of complex tasks performed, especially in enterprise applications.
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25 Sep 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)Recently, there has been a trend of evaluating the Large Language Model (LLM) quality in the flavor of LLM-as-a-Judge, namely leveraging another LLM to evaluate the current output quality.
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11 Sep 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)Speech language models have recently demonstrated great potential as universal speech processing systems.
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20 Jun 2024 1 repository listedOn MMLU, using Inference-time Decontamination can lead to a decrease in the results of Phi3 and Mistral by 6.
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20 May 2024 1 repository listedThe rapid advancement of large language models has given rise to a plethora of applications across a myriad of real-world tasks, mainly centered on aligning with human intent.
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17 Apr 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverifiedThis paper studies the relationship between the surface form of a mathematical problem and its solvability by large language models.
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1 Apr 2024 1 repository listedThis paper introduces Evalverse, a novel library that streamlines the evaluation of Large Language Models (LLMs) by unifying disparate evaluation tools into a single, user-friendly framework.
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13 Mar 2024 1 repository listedThrough this gateway, users have the opportunity to submit their questions, testing the models on a personalized and potentially broader range of capabilities.
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20 Feb 2024 1 repository listed Syntology ran 3 of 6 samples · 3 unverified · 6 pointer-only (licence)The focus of language model evaluation has transitioned towards reasoning and knowledge-intensive tasks, driven by advancements in pretraining large models.
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19 Dec 2023 1 repository listed Syntology ran 2 of 6 samples · 4 unverified · 6 pointer-only (licence)LatestEval avoids data contamination by only using texts published within a recent time window, ensuring no overlap with the training corpora of pre-trained language models.
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15 Dec 2023 1 repository listedThe success of large language models has shifted the evaluation paradigms in natural language processing (NLP).
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14 Nov 2023 1 repository listedIn this work we systematically review the recent advancements in software engineering with language models, covering 70+ models, 40+ evaluation tasks, 180+ datasets, and 900 related works.
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19 Sep 2023 1 repository listedData contamination in model evaluation is getting increasingly prevalent as the massive training corpora of large language models often unintentionally include benchmark samples.
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8 Aug 2023 1 repository listedWith ChatGPT-like large language models (LLM) prevailing in the community, how to evaluate the ability of LLMs is an open question.
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20 Jul 2023 1 repository listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)Evaluation of Large Language Models (LLMs) is challenging because instruction-following necessitates alignment with human values and the required set of skills varies depending on the instruction.
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24 May 2023 1 repository listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)Semantic textual similarity (STS), a cornerstone task in NLP, measures the degree of similarity between a pair of sentences, and has broad application in fields such as information retrieval and natural language…
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22 May 2023 1 repository listedEvaluation datasets are critical resources for measuring the quality of pretrained language models.
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25 Feb 2021 1 repository listedThis paper presents our systems for the three Subtasks of SemEval Task4: Reading Comprehension of Abstract Meaning (ReCAM).
Syntology lines on 10 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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