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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

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Showing 26–50 of 796 papers

TitleStatusHype
Long Story Short: Story-level Video Understanding from 20K Short Films—0
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering—0
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained EvaluationCode1
Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQCode0
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access—0
Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question AnsweringCode4
BiMediX: Bilingual Medical Mixture of Experts LLMCode1
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering—0
Shai: A large language model for asset management—0
On Early Detection of Hallucinations in Factual Question AnsweringCode1
Universal Self-Consistency for Large Language Model Generation—0
Downstream Trade-offs of a Family of Text WatermarksCode0
Monolingual or Multilingual Instruction Tuning: Which Makes a Better AlpacaCode0
Prompting Large Language Models with Speech Recognition Abilities—0
PRD: Peer Rank and Discussion Improve Large Language Model based EvaluationsCode1
On the Model-Misspecification in Reinforcement Learning—0
2D-Shapley: A Framework for Fragmented Data ValuationCode0
Adversaries with Limited Information in the Friedkin--Johnsen ModelCode0
POP: Prompt Of Prompts for Continual Learning—0
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language ModelsCode2
Provable Accelerated Convergence of Nesterov's Momentum for Deep ReLU Neural Networks—0
Non-autoregressive Conditional Diffusion Models for Time Series Prediction—0
Benchmarking Foundation Models with Language-Model-as-an-Examiner—0
Differences in boundary behavior in the 3D vertex and Voronoi models—0
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