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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/fanourakis/experimental-review-ea

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Knowledge Graph Embedding Methods for Entity Alignment: An Experimental Review

https://github.com/fanqiwan/fusellm

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Knowledge Fusion of Large Language Models

https://github.com/fansunqi/akeys

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Agentic Keyframe Search for Video Question Answering

https://github.com/fantabulous-j/class

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Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision

https://github.com/fanyin3639/lid-hallucinationdetection

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Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension

https://github.com/farewellthree/BT-Adapter

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BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning

https://github.com/farewellthree/ppllava

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PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance

https://github.com/farhadmfar/cosmo

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COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering

https://github.com/fawazsammani/nlxgpt

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Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks

https://github.com/fawazsammani/uni-nlx

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Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks

https://github.com/fdschmidt93/fleurs-slu

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Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding

https://github.com/fedelopez77/gyrospd

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Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices

https://github.com/fenglinliu98/MIA

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Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations

https://github.com/feradauto/moralcot

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When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment

https://github.com/feyzaakyurek/bbnli

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On Measuring Social Biases in Prompt-Based Multi-Task Learning

https://github.com/ffaisal93/sd-qa

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SD-QA: Spoken Dialectal Question Answering for the Real World

https://github.com/ffd8ffe/babelbench

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BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data

https://github.com/fhaer/multi-agent-llm-system

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Specification and Evaluation of Multi-Agent LLM Systems -- Prototype and Cybersecurity Applications

https://github.com/filaPro/cad-recode

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CAD-Recode: Reverse Engineering CAD Code from Point Clouds

https://github.com/filamentai/qa-annotation

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A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering

https://github.com/find-knowledge/ibr

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Interpretable Proof Generation via Iterative Backward Reasoning

https://github.com/findalexli/SciGraphQA

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SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

https://github.com/findalexli/mllm-dpo

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Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language Models

https://github.com/findalexli/mllm-dpo/blob/main/README.MD

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Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language Models

https://github.com/findzebra/fz-openqa

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Variational Open-Domain Question Answering

https://github.com/flageval-baai/flagevalmm

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FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation

https://github.com/flair-iisc/watermark_tradeoffs

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Downstream Trade-offs of a Family of Text Watermarks

https://github.com/flair-thu/creamfl

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Multimodal Federated Learning via Contrastive Representation Ensemble

https://github.com/flairnlp/fabricator

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Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

https://github.com/floklimm/graphon

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Modularity maximisation for graphons

https://github.com/florisvb/windobs

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A Nonlinear Observability Analysis of Ambient Wind Estimation with Uncalibrated Sensors, Inspired by Insect Neural Encoding

https://github.com/flowersteam/eager

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EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL

https://github.com/forjadeforest/icd-lm

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Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

https://github.com/forjadeforest/lever-lm

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Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

https://github.com/forjadeforest/live-learnable-in-context-vector

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LIVE: Learnable In-Context Vector for Visual Question Answering

https://github.com/foundation-multimodal-models/world2code

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World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering

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