Papers
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: How do language models compare to human experts on professional knowledge and science benchmarks v18. 8 claims were extracted from source literature; 1 was independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 15 peer-reviewed papers addressing the following research question: What is the relationship between language model perplexity and downstream reasoning task performance v18. 15 claims were extracted from source literature; 1 was independently verified against retrieved documents.…
Abstract: This report synthesises findings from 10 peer-reviewed papers addressing the following research question: What are the limitations of current language model evaluation benchmarks for measuring reasoning v18. 0 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 v18. 14 claims were extracted from source literature; 2 were independently verified against retrieved…
Abstract: This report synthesises findings from 12 peer-reviewed papers addressing the following research question: What prompting strategies maximize language model accuracy on graduate-level science questions v18. 22 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 language models handle multi-hop reasoning chains in scientific question answering v18. 13 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: What is the comparative performance of open-source language models versus proprietary models on coding benchmarks v18. 16 claims were extracted from source literature; 0 were independently verified against…
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 v18. 16 claims were extracted from source literature; 3 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 14 peer-reviewed papers addressing the following research question: What training strategies improve language model generalization to novel mathematical reasoning problems v18. 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 retrieval augmentation improve language model performance on knowledge-intensive tasks v18. 8 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 model quantization affect reasoning capability in large language models v18. 14 claims were extracted from source literature; 1 was independently verified against retrieved documents. An automated…
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 v18. 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: What is the impact of model size (e.g., 1B vs. 10B parameters) on cross-language structural priming robustness, as measured by priming effect decay rates across sentence distances. 13 claims were extracted from…
Abstract: This report synthesises findings from 16 peer-reviewed papers addressing the following research question: How do multimodal language models perform on visual mathematical and scientific reasoning v18. 15 claims were extracted from source literature; 1 was independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 10 peer-reviewed papers addressing the following research question: Can domain-specific vision language models (e.g., MathVLM) outperform general-purpose VLMs in solving complex visual math problems, as measured by accuracy on GSM8K-V and computational efficiency. 0 claims were…
Abstract: This report synthesises findings from 16 peer-reviewed papers addressing the following research question: What is the effect of instruction fine-tuning on language model mathematical problem-solving accuracy v18. 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: What techniques enable language models to solve competition-level software engineering problems v18. 14 claims were extracted from source literature; 1 was independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 15 peer-reviewed papers addressing the following research question: How do sparse mixture-of-experts models compare to dense transformers on mathematical reasoning v18. 16 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: How do language models perform on formal theorem proving and mathematical verification tasks v18. 10 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: How does reinforcement learning from human feedback improve language model mathematical reasoning v18. 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: What architectural innovations improve transformer performance on multi-step logical reasoning v18. 15 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: What is the relationship between model scale and emergent reasoning capabilities in transformers v18. 13 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 test-time compute scaling improve language model performance on reasoning benchmarks v18. 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: What are the scaling laws for chain-of-thought reasoning in large language models v18. 20 claims were extracted from source literature; 1 was independently verified against retrieved documents. An automated…
Abstract: This report synthesises findings from 14 peer-reviewed papers addressing the following research question: Do policy-gradient RL methods improve robustness scores on non-ideal scenario datasets relative to PPO-trained baseline models. 14 claims were extracted from source literature; 4 were independently verified…