answerability prediction
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Benchmarks
PeerQA
Most implemented
Language Models are Few-Shot Learners
GPT-4 Technical Report
Mistral 7B
The Llama 3 Herd of Models
PeerQA: A Scientific Question Answering Dataset from Peer Reviews
Papers
PeerQA: A Scientific Question Answering Dataset from Peer Reviews
We present PeerQA, a real-world, scientific, document-level Question Answering (QA) dataset. PeerQA questions have been sourced from peer reviews, which contain questions that reviewers raised while thoroughly examining …
answerability predictionAnswer GenerationArticlesPassage Retrieval+5The Llama 3 Herd of Models
Modern artificial intelligence (AI) systems are powered by foundation models. This paper presents a new set of foundation models, called Llama 3. It is a herd of language models that natively support multilinguality, cod…
answerability predictionLanguage ModelingLanguage ModellingMulti-task Language Understanding+3Towards Reliable and Factual Response Generation: Detecting Unanswerable Questions in Information-Seeking Conversations
Generative AI models face the challenge of hallucinations that can undermine users' trust in such systems. We approach the problem of conversational information seeking as a two-step process, where relevant passages in a…
answerability predictionResponse GenerationMistral 7B
We introduce Mistral 7B v0.1, a 7-billion-parameter language model engineered for superior performance and efficiency. Mistral 7B outperforms Llama 2 13B across all evaluated benchmarks, and Llama 1 34B in reasoning, mat…
answerability predictionArithmetic ReasoningChatbotCode Generation+11GPT-4 Technical Report
We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs. While less capable than humans in many real-world scenarios, GPT-4 exhibits human-level…
answerability predictionArithmetic ReasoningBug fixingCode Generation+18Towards Confident Machine Reading Comprehension
There has been considerable progress on academic benchmarks for the Reading Comprehension (RC) task with State-of-the-Art models closing the gap with human performance on extractive question answering. Datasets such as S…
answerability predictionExtractive Question-AnsweringMachine Reading ComprehensionPrediction+2