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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/iai-group/iqn-kgqa

공식 코드

Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering

https://github.com/iamryanshengwang/prometheus-chatbot

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Prometheus Chatbot: Knowledge Graph Collaborative Large Language Model for Computer Components Recommendation

https://github.com/ibayashi-hikaru/msml_experiments

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Exponential escape efficiency of SGD from sharp minima in non-stationary regime

https://github.com/ibm-ecosystem-engineering/blended-rag

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Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

https://github.com/ibm/failuresensoriq

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FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

https://github.com/ibm/indo-aryan-language-family-model

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Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages

https://github.com/ibm/kgi-slot-filling

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Re2G: Retrieve, Rerank, Generate

https://github.com/ibm/neural_unification_for_logic_reasoning_over_language

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Neural Unification for Logic Reasoning over Natural Language

https://github.com/ibm/t3qa

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Topic Transferable Table Question Answering

https://github.com/iboing/corda

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CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning

https://github.com/ibpa/kglm

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KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction

https://github.com/ibraheem-moosa/xlm-indic

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Does Transliteration Help Multilingual Language Modeling?

https://github.com/icalk-nlp/educhat

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EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

https://github.com/iclr2019-anon123456/perm-optim

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Learning Representations of Sets through Optimized Permutations

https://github.com/ict-bigdatalab/utility_judgments

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Are Large Language Models Good at Utility Judgments?

https://github.com/ict-bigdatalab/vnel

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Visual Named Entity Linking: A New Dataset and A Baseline

https://github.com/ictnlp/LevelRAG

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LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers

https://github.com/ictnlp/llama-omni2

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LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis

https://github.com/ictnlp/llava-mini

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LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

https://github.com/ictnlp/truthx

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TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space

https://github.com/idansc/HighOrderAtten

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High-Order Attention Models for Visual Question Answering

https://github.com/idansc/fga

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Factor Graph Attention

https://github.com/idea-finai/tog

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Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph

https://github.com/idea-xl/moleculeqa

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MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension

https://github.com/idejie/3DSyn

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3D Vision and Language Pretraining with Large-Scale Synthetic Data

https://github.com/idiap/rethinking-saliency

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Rethinking the Role of Gradient-Based Attribution Methods for Model Interpretability

https://github.com/idiap/translation-aided-slu

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The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation

https://github.com/ids-cv/coling_iparaphrasing

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iParaphrasing: Extracting Visually Grounded Paraphrases via an Image

https://github.com/idt-iti/vidctx

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VidCtx: Context-aware Video Question Answering with Image Models

https://github.com/ieit-agi/mix-shannon

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Image Content Generation with Causal Reasoning

https://github.com/ielab/typos-aware-bert

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Dealing with Typos for BERT-based Passage Retrieval and Ranking

https://github.com/iesl/protoqa-data

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ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning

https://github.com/igitugraz/memorydependentcomputation

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Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity

https://github.com/iigroup/map

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MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model

https://github.com/iigroup/scl

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Seeing What You Miss: Vision-Language Pre-training with Semantic Completion Learning

https://github.com/iiis-ai/cumulative-reasoning

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Cumulative Reasoning with Large Language Models

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