├── images ├── barplot.PNG ├── ALT_overview.PNG └── deduction_example_GPT4.png ├── README.md └── LICENSE /images/barplot.PNG: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hitachi-nlp/FLD/HEAD/images/barplot.PNG -------------------------------------------------------------------------------- /images/ALT_overview.PNG: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hitachi-nlp/FLD/HEAD/images/ALT_overview.PNG -------------------------------------------------------------------------------- /images/deduction_example_GPT4.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hitachi-nlp/FLD/HEAD/images/deduction_example_GPT4.png -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Formal Logic Deduction 2 | ![ALT_overview](./images/ALT_overview.PNG) 3 | 4 | **F**ormal **L**ogic **D**eduction (**FLD**) is a project to enhance LLMs' reasoning capabilities via synthetically generated samples of logical reasoning, the most fundamental form of reasoning. 5 | 6 | ## [!] Latest Updates 7 | 🎉 **A new paper at NeurIPS 2024: [Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus](https://arxiv.org/abs/2411.12498).** 8 | 9 | 💎 **[FLDx2 (Formal Logic Deduction Diverse)](https://huggingface.co/datasets/hitachi-nlp/FLDx2), our most advanced corpus that substantially improves reasoning capabilities of state-of-the-art LLMs:** 10 | ![barplot](./images/barplot.PNG) 11 | 12 | ## Key Features 13 | 14 | 🎓 Built on **well-grounded design principles**, which integrate symbolic logic theory and previous empirical insights, resulting in diverse samples covering (i) multi-step deduction with unknown facts, (ii) diverse reasoning rules, (iii) diverse linguistic expressions, and (iv) challenging distractors. 15 | 16 | 🚀 Demonstrates substantial enhancement in LLM reasoning capabilities. 17 | 18 | 👊 Serves as a challenging benchmark asessing pure reasoning capabilities isolated from knowledge. Even GPT-4 can solve only about half of the problems. 19 | 20 | ## Contents 21 | * Resources: 22 | * FLD corpora are detailed [here](https://github.com/hitachi-nlp/FLD-corpus). 23 | * LLMs trained on FLDx2: [LLaMA-3.1-8B](https://huggingface.co/hitachi-nlp/Llama-3.1-8B-FLDx2) and [LLaMA-3.1-70B](https://huggingface.co/hitachi-nlp/Llama-3.1-70B-FLDx2) (only for a single seed). 24 | * Train LLMs on FLD corpora by [our scripts](https://github.com/hitachi-nlp/FLD-prover/). 25 | * Evaluation: 26 | * Evaluating LLMs on reasoning-related benchmarks, as done in our paper, by using [our fork of lm-evaluation-harness](https://github.com/hitachi-nlp/lm-evaluation-harness) and [our fork of bigcode-evaluation-harness](https://github.com/hitachi-nlp/bigcode-evaluation-harness). 27 | * Evaluating LLMs on FLD itself using [the official lm-evlauation-harness](https://github.com/EleutherAI/lm-evaluation-harness/tree/main/lm_eval/tasks/fld) (recommended), or [our evaluation scripts](https://github.com/hitachi-nlp/FLD-fewshot-ICL-eval). 28 | * Generating FLD corpora by [our generator](https://github.com/hitachi-nlp/FLD-generator/). 29 | 30 | ## Publications 31 | 32 | ### International Coneferences 33 | * ["Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus", NeurIPS, 2024](https://arxiv.org/abs/2411.12498) 34 | * ["JFLD: A Japanese Benchmark for Deductive Reasoning Based on Formal Logic", LREC-COLING, 2024](https://aclanthology.org/2024.lrec-main.832/) 35 | * ["Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic", ICML, 2023](https://arxiv.org/abs/2308.07336) 36 | 37 | ### Domestic Conferences (Japanese only) 38 | * [「帰納的に多様な巨大論理推論コーパスによりLLMの汎用論理推論能力を向上させる」, 人工知能学会, 2024](https://confit.atlas.jp/guide/event-img/jsai2024/3Xin2-64/public/pdf?type=in) 39 | * [「日本語論理推論ベンチマークJFLDの提案」, 言語処理学会, 2024](https://www.anlp.jp/proceedings/annual_meeting/2024/pdf_dir/A4-1.pdf) 40 | * [「言語モデルの論理推論能力を大きく改善、日立が学習用コーパスの自動生成技術」, 日経ロボティクス, 2024/01](https://xtech.nikkei.com/atcl/nxt/mag/rob/18/012600001/00136) 41 | * [「人工演繹推論コーパスによる学習は言語モデルをどのように強化するか？」, 人工知能学会, 2023](https://www.jstage.jst.go.jp/article/pjsai/JSAI2023/0/JSAI2023_2E5GS605/_pdf) 42 | * [「形式論理学に基づく演繹コーパスによる言語モデルに対する演繹推論能力の付与」, 言語処理学会, 2023](https://www.anlp.jp/proceedings/annual_meeting/2023/pdf_dir/B1-2.pdf) 43 | 44 | ## Contact 45 | For any reason where a GitHub pull request or an issue is not appropriate, feel free to email terufumi.morishita.wp[at]hitachi.com. 46 | 47 | ## Citation 48 | If you liked our project, please consider citing the following papers: 49 | ```bibtex 50 | @inproceedings{morishita_2024_NeurIPS_FLD_diverse, 51 | title={Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus}, 52 | author={Terufumi Morishita and Gaku Morio and Atsuki Yamaguchi and Yasuhiro Sogawa}, 53 | booktitle={Annual Conference on Neural Information Processing Systems}, 54 | year={2024} 55 | } 56 | 57 | @inproceedings{morishita2024jfld, 58 | title = {JFLD: A Japanese Benchmark for Deductive Reasoning based on Formal Logic}, 59 | author = {Morishita, Terufumi and Yamaguchi, Atsuki and Morio, Gaku and Hikaru, Tomonari and Osamu Imaichi and Sogawa, Yasuhiro}, 60 | booktitle = {Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation}, 61 | year = {2024} 62 | } 63 | 64 | @inproceedings{morishita2023fld, 65 | title = {Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic}, 66 | author = {Morishita, Terufumi and Morio, Gaku and Yamaguchi, Atsuki and Sogawa, Yasuhiro}, 67 | booktitle = {Proceedings of the 40th International Conference on Machine Learning}, 68 | year = {2023} 69 | } 70 | ``` 71 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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