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Open-Ended Question Answering

Open-ended questions are defined as those that simply pose the question, without imposing any constraints on the format of the response. This distinguishes them from questions with a predetermined answer format.

Papers

Showing 226250 of 796 papers

TitleStatusHype
Embedding-based Product Retrieval in Taobao Search0
Bandit Convex Optimization: Towards Tight Bounds0
End-to-End Pore Extraction and Matching in Latent Fingerprints: Going Beyond Minutiae0
Enhancing Gradient-based Attacks with Symbolic Intervals0
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering0
Ensemble-Based Deep Reinforcement Learning for Chatbots0
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task0
Equivalence of Multicategory SVM and Simplex Cone SVM: Fast Computations and Statistical Theory0
Exploiting the Sensitivity of L_2 Adversarial Examples to Erase-and-Restore0
Escaping Saddle Points Faster with Stochastic Momentum0
Ethical Artificial Intelligence - An Open Question0
Better state exploration using action sequence equivalence0
Evaluating Machine Common Sense via Cloze Testing0
A Comparison of Explicit and Implicit Proactive Dialogue Strategies for Conversational Recommendation0
Fair assignment of indivisible objects under ordinal preferences0
Fast Binary Functional Search on Graph0
Evaluation of Spectral Learning for the Identification of Hidden Markov Models0
Cross-view Brain Decoding0
Cross-modal Face- and Voice-style Transfer0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks0
Evolutionary dynamics of incubation periods0
A Re-Examination of the Evidence used by Hooge et al (2018) "Is human classification by experienced untrained observers a gold standard in fixation detection?"0
Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandic0
Exit options sustain altruistic punishment and decrease the second-order free-riders, but it is not a panacea0
A Quantitative Review on Language Model Efficiency Research0
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