Arithmetic Reasoning

41 papers with code • 1 benchmarks • 3 datasets

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Use these libraries to find Arithmetic Reasoning models and implementations

Most implemented papers

Llama 2: Open Foundation and Fine-Tuned Chat Models

facebookresearch/llama 18 Jul 2023

In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters.

Mistral 7B

mistralai/mistral-src 10 Oct 2023

We introduce Mistral 7B v0. 1, a 7-billion-parameter language model engineered for superior performance and efficiency.

Large Language Models are Zero-Shot Reasoners

kojima-takeshi188/zero_shot_cot 24 May 2022

Pretrained large language models (LLMs) are widely used in many sub-fields of natural language processing (NLP) and generally known as excellent few-shot learners with task-specific exemplars.

PAL: Program-aided Language Models

srush/minichain 18 Nov 2022

Much of this success can be attributed to prompting methods such as "chain-of-thought'', which employ LLMs for both understanding the problem description by decomposing it into steps, as well as solving each step of the problem.

Reasoning with Language Model Prompting: A Survey

zjunlp/Prompt4ReasoningPapers 19 Dec 2022

Reasoning, as an essential ability for complex problem-solving, can provide back-end support for various real-world applications, such as medical diagnosis, negotiation, etc.

Batch Prompting: Efficient Inference with Large Language Model APIs

xlang-ai/batch-prompting 19 Jan 2023

We extensively validate the effectiveness of batch prompting on ten datasets across commonsense QA, arithmetic reasoning, and NLI/NLU: batch prompting significantly~(up to 5x with six samples in batch) reduces the LLM (Codex) inference token and time costs while achieving better or comparable performance.

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

agi-edgerunners/llm-adapters 4 Apr 2023

The success of large language models (LLMs), like GPT-4 and ChatGPT, has led to the development of numerous cost-effective and accessible alternatives that are created by finetuning open-access LLMs with task-specific data (e. g., ChatDoctor) or instruction data (e. g., Alpaca).

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks

wengsyx/neural-comprehension 4 Apr 2023

Language models (LMs) proficiency in handling deterministic symbolic reasoning and rule-based tasks remains limited due to their dependency implicit learning on textual data.

Learning to Reason for Text Generation from Scientific Tables

UKPLab/SciGen 16 Apr 2021

In this paper, we introduce SciGen, a new challenge dataset for the task of reasoning-aware data-to-text generation consisting of tables from scientific articles and their corresponding descriptions.

Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning

lupantech/InterGPS ACL 2021

We further propose a novel geometry solving approach with formal language and symbolic reasoning, called Interpretable Geometry Problem Solver (Inter-GPS).