Papers
Abstract: This report synthesises findings from 12 peer-reviewed papers addressing the following research question: Can feature representations from synthetic video training generalize to unseen gesture classes in large pre-trained models without fine-tuning, as measured by top-1 accuracy on the NVGesture dataset. 0 claims…
Abstract: This report synthesises findings from 8 peer-reviewed papers addressing the following research question: How do open-source multimodal models compare to proprietary models on diagram-based coding benchmarks like HumanEval-V. 14 claims were extracted from source literature; 2 were independently verified against…
Abstract: This report synthesises findings from 13 peer-reviewed papers addressing the following research question: How robust are LMMs trained on MMC-Instruction to distributional shifts in chart types or domains, as quantified by cross-domain accuracy when tested on unseen chart datasets. 12 claims were extracted from source…
Abstract: This report synthesises findings from 12 peer-reviewed papers addressing the following research question: Comprehensive comparison of frontier large language models on mathematical reasoning code generation and scientific knowledge v13. 18 claims were extracted from source literature; 0 were independently verified…
Abstract: This report synthesises findings from 12 peer-reviewed papers addressing the following research question: What are the state-of-the-art large language model results on reasoning benchmarks published recently v13. 16 claims were extracted from source literature; 1 was independently verified against retrieved…
Abstract: This report synthesises findings from 15 peer-reviewed papers addressing the following research question: Which frontier language models achieve highest scores on GPQA Diamond Humanity Last Exam and difficult reasoning benchmarks v13. 14 claims were extracted from source literature; 0 were independently verified…
Abstract: This report synthesises findings from 11 peer-reviewed papers addressing the following research question: What is the relationship between language model perplexity and downstream reasoning task performance v13. 12 claims were extracted from source literature; 0 were independently verified against retrieved…
Abstract: This report synthesises findings from 16 peer-reviewed papers addressing the following research question: How does context length affect language model performance on multi-document reasoning and summarization v13. 10 claims were extracted from source literature; 0 were independently verified against retrieved…
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: What are the limitations of current language model evaluation benchmarks for measuring reasoning v13. 10 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 15 peer-reviewed papers addressing the following research question: How do language models compare to human experts on professional knowledge and science benchmarks v13. 15 claims were extracted from source literature; 7 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 15 peer-reviewed papers addressing the following research question: What is the effect of model size on language model performance on logical reasoning tasks v13. 9 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 13 peer-reviewed papers addressing the following research question: How do language models handle multi-hop reasoning chains in scientific question answering v13. 14 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 16 peer-reviewed papers addressing the following research question: What prompting strategies maximize language model accuracy on graduate-level science questions v13. 12 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 14 peer-reviewed papers addressing the following research question: How does synthetic training data improve language model performance on mathematical reasoning benchmarks v13. 0 claims were extracted from source literature; 0 were independently verified against retrieved…
Abstract: This report synthesises findings from 16 peer-reviewed papers addressing the following research question: How does extended thinking time affect language model accuracy on competition-level mathematics v13. 0 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 13 peer-reviewed papers addressing the following research question: How does model quantization affect reasoning capability in large language models v13. 16 claims were extracted from source literature; 0 were independently verified against retrieved documents. An automated…
Abstract: This report synthesises findings from 13 peer-reviewed papers addressing the following research question: What is the comparative performance of open-source language models versus proprietary models on coding benchmarks v13. 12 claims were extracted from source literature; 1 was independently verified against…
Abstract: This report synthesises findings from 16 peer-reviewed papers addressing the following research question: How does retrieval augmentation improve language model performance on knowledge-intensive tasks v13. 0 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 16 peer-reviewed papers addressing the following research question: What are the failure modes of frontier language models on abstract mathematical reasoning v13. 0 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 15 peer-reviewed papers addressing the following research question: How do multimodal language models perform on visual mathematical and scientific reasoning v13. 10 claims were extracted from source literature; 2 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 16 peer-reviewed papers addressing the following research question: How does pretraining data quality affect language model reasoning benchmark performance v13. 14 claims were extracted from source literature; 1 was independently verified against retrieved documents. An automated…
Abstract: This report synthesises findings from 11 peer-reviewed papers addressing the following research question: How do multimodal models incorporating mathematical notation or diagrams perform compared to text-only models on the MATH dataset, and what is the trade-off in terms of inference efficiency. 10 claims were…
Abstract: This report synthesises findings from 8 peer-reviewed papers addressing the following research question: What is the effect of instruction fine-tuning on language model mathematical problem-solving accuracy v13. 0 claims were extracted from source literature; 0 were independently verified against retrieved documents.…
Abstract: This report synthesises findings from 16 peer-reviewed papers addressing the following research question: How does reinforcement learning from human feedback improve language model mathematical reasoning v13. 0 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 12 peer-reviewed papers addressing the following research question: How do sparse mixture-of-experts models compare to dense transformers on mathematical reasoning v13. 16 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…