SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 796 papers

TitleStatusHype
Benchmarking Compositionality with Formal LanguagesCode1
Online Class-Incremental Continual Learning with Adversarial Shapley ValueCode1
Leveraging Natural Supervision for Language Representation Learning and GenerationCode1
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIsCode1
Large Language Models Encode Clinical KnowledgeCode1
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive BiasesCode1
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the LeastCode1
A Few More Examples May Be Worth Billions of ParametersCode1
Discovering Reinforcement Learning AlgorithmsCode1
LLaSA: A Multimodal LLM for Human Activity Analysis Through Wearable and Smartphone SensorsCode1
Argument Mining Driven Analysis of Peer-ReviewsCode1
DORO: Distributional and Outlier Robust OptimizationCode1
Neuro-symbolic computing with spiking neural networksCode1
On Early Detection of Hallucinations in Factual Question AnsweringCode1
Does CLIP Bind Concepts? Probing Compositionality in Large Image ModelsCode1
Open Domain Question Answering with A Unified Knowledge InterfaceCode1
Open Question Answering over Tables and TextCode1
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and RetrainingCode1
Ranked Voting based Self-Consistency of Large Language ModelsCode1
Attack of the Tails: Yes, You Really Can Backdoor Federated LearningCode1
Attention-guided Context Feature Pyramid Network for Object DetectionCode1
Robust Optimization as Data Augmentation for Large-scale GraphsCode1
Generated Knowledge Prompting for Commonsense ReasoningCode1
PRD: Peer Rank and Discussion Improve Large Language Model based EvaluationsCode1
Show:102550
← PrevPage 4 of 32Next →

No leaderboard results yet.