Papers
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…
Abstract: This report synthesises findings from 10 peer-reviewed papers addressing the following research question: What architectural innovations improve transformer performance on multi-step logical reasoning v13. 14 claims were extracted from source literature; 12 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 11 peer-reviewed papers addressing the following research question: How does test-time compute scaling improve language model performance on reasoning benchmarks 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: What are the scaling laws for chain-of-thought reasoning in large language models v13. 20 claims were extracted from source literature; 0 were independently verified against retrieved documents. An automated…
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 v13. 8 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 1 peer-reviewed paper addressing the following research question: Comprehensive comparison of frontier large language models on mathematical reasoning code generation and scientific knowledge v12. 0 claims were extracted from source literature; 0 were independently verified…
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: What is the effect of model size on language model performance on logical reasoning tasks v12. 0 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: How does synthetic training data improve language model performance on mathematical reasoning benchmarks v12. 13 claims were extracted from source literature; 2 were independently verified against retrieved…
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: What are the failure modes of frontier language models on abstract mathematical reasoning v12. 0 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: How does retrieval augmentation improve language model performance on knowledge-intensive tasks v12. 8 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: What techniques enable language models to solve competition-level software engineering problems v12. 0 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: How does reinforcement learning from human feedback improve language model mathematical reasoning v12. 8 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: How do language models perform on formal theorem proving and mathematical verification tasks v12. 7 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: What is the relationship between model scale and emergent reasoning capabilities in transformers v12. 11 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: What architectural innovations improve transformer performance on multi-step logical reasoning v12. 10 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: How does test-time compute scaling improve language model performance on reasoning benchmarks v12. 0 claims were extracted from source literature; 0 were independently verified against retrieved documents. An…
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: What are the scaling laws for chain-of-thought reasoning in large language models v12. 8 claims were extracted from source literature; 0 were independently verified against retrieved documents. An automated…
Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: Comprehensive comparison of frontier large language models on mathematical reasoning code generation and scientific knowledge v11. 10 claims were extracted from source literature; 0 were independently verified…