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Question Answering

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하위 태스크: 19
평가표: 153
보존된 평가 기록: 1,781

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

코드

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

https://github.com/docwza/sumolights

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An Open-Source Framework for Adaptive Traffic Signal Control

https://github.com/don-joey/noahqa

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NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset

https://github.com/dongguanting/dpa-rag

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Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation

https://github.com/dongguanting/skp-for-kbqa

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Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA

https://github.com/dongjunkang/vim

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From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models

https://github.com/dongquan11/CB-HS.SOPPP

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Path Planning Problems with Side Observations-When Colonels Play Hide-and-Seek

https://github.com/dongryeollee96/askcq

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Asking Clarification Questions to Handle Ambiguity in Open-Domain QA

https://github.com/dongxiangjue/closed-book-question-generation-via-contrastive-learning

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Closed-book Question Generation via Contrastive Learning

https://github.com/dongzhikang/mambavl

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Mamba Fusion: Learning Actions Through Questioning

https://github.com/doslim/evaluate-the-opinion-leadership-of-llms

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Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf Game

https://github.com/double125/Graph-Matching-Attention

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Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering

https://github.com/dpappas/Data-Augmentation-for-Biomedical-Factoid-Question-Answering

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Data Augmentation for Biomedical Factoid Question Answering

https://github.com/dpclip/dpclip

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Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training

https://github.com/dpernes/modafm

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Tackling unsupervised multi-source domain adaptation with optimism and consistency

https://github.com/dqxiu/calinet

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Calibrating Factual Knowledge in Pretrained Language Models

https://github.com/dragonlzm/pave

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PAVE: Patching and Adapting Video Large Language Models

https://github.com/drbenchmark/drbenchmark

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DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain

https://github.com/dreamtheater123/voxeval

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VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models

https://github.com/dreichCSL/GQA_generalization_splits

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Visually Grounded VQA by Lattice-based Retrieval

https://github.com/dreichcsl/fpvg

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Measuring Faithful and Plausible Visual Grounding in VQA

https://github.com/dreichcsl/truevg

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Uncovering the Full Potential of Visual Grounding Methods in VQA

https://github.com/drorlab/DIPS

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End-to-End Learning on 3D Protein Structure for Interface Prediction

https://github.com/drsy/pins

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Pruning Pre-trained Language Models with Principled Importance and Self-regularization

https://github.com/ds-jrg/causal-qa-rl

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Causal Question Answering with Reinforcement Learning

https://github.com/dsam99/quere

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Predicting the Performance of Black-box LLMs through Self-Queries

https://github.com/dukesun99/CQG-MBQA

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A General Framework for Producing Interpretable Semantic Text Embeddings

https://github.com/dutir-bionlp/taiyi-llm

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Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks

https://github.com/dvlab-research/LLMGA

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LLMGA: Multimodal Large Language Model based Generation Assistant

https://github.com/dvlab-research/diaggsm8k

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MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation

https://github.com/dvlab-research/llama-vid

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LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models

https://github.com/dvlab-research/longlora

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LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

https://github.com/dvlab-research/mr-gsm8k

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MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation

https://github.com/dvlab-research/step-dpo

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Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

https://github.com/dwq-vicki/dcqa

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Differentiating Choices via Commonality for Multiple-Choice Question Answering

https://github.com/dxlong2000/chatgpt-as-a-math-questioner

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ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions

https://github.com/dyu62/PolyGNN

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PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph

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