Papers with Code 아카이브

Explanation Generation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

5

보존된 평가 기록

15

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ruijie-wang-uzh/gnn2r

공식 코드

GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs

https://github.com/ruixing76/transparent-fcexp

공식 코드

Evaluating Evidence Attribution in Generated Fact Checking Explanations

https://github.com/strong-ai-lab/explanation-generation

공식 코드

Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models

https://github.com/subercui/codeexp

공식 코드

CodeExp: Explanatory Code Document Generation

https://github.com/superbooming/e-redial

공식 코드

Towards Explainable Conversational Recommender Systems

https://github.com/szzexpoi/rex

공식 코드

REX: Reasoning-aware and Grounded Explanation

https://github.com/valeoai/octet

공식 코드

OCTET: Object-aware Counterfactual Explanations

https://github.com/weitianxin/UniMP

공식 코드

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond

https://github.com/williamliujl/llmrec

공식 코드

LLMRec: Benchmarking Large Language Models on Recommendation Task

https://github.com/wzf2000/macrec

공식 코드

MACRec: a Multi-Agent Collaboration Framework for Recommendation

https://github.com/zeng-yirong/ru22fact

공식 코드

RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict

https://github.com/zhaoxy92/LIREx

공식 코드

LIREx: Augmenting Language Inference with Relevant Explanation

https://github.com/zyrmj0212/cikm24-mmi-exr

공식 코드

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information

https://github.com/ciselab/lampion

Counterfactual Explanations for Models of Code

https://github.com/csinva/interpretable-autoprompting

Explaining Patterns in Data with Language Models via Interpretable Autoprompting

https://github.com/mainuliitkgp/KG-ALSC

AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations

https://github.com/navreeetkaur/uphill

Explainable Automated Fact-Checking for Public Health Claims

https://github.com/pko89403/llm-for-recsys-shadow

MACRec: a Multi-Agent Collaboration Framework for Recommendation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.