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Open-Ended Question Answering

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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.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/szzoli/ite

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Learning Theory for Distribution Regression

https://github.com/AndreasMadsen/nlp-roar-interpretability

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Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining

https://github.com/BoXHED/BoXHED1.0

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BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates

https://github.com/BoulderDS/evaluating-human-rationales

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Evaluating and Characterizing Human Rationales

https://github.com/Caojunxu/AC-FPN

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Attention-guided Context Feature Pyramid Network for Object Detection

https://github.com/ChenRocks/Distill-BERT-Textgen

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Distilling Knowledge Learned in BERT for Text Generation

https://github.com/DevSinghSachan/unsupervised-passage-reranking

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Improving Passage Retrieval with Zero-Shot Question Generation

https://github.com/EdisonNi-hku/when-does-mtl-work

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When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP

https://github.com/FilipMiscevic/random_walk

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Simple Search Algorithms on Semantic Networks Learned from Language Use

https://github.com/GabrielBena/specialization-dynamics

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Dynamics of specialization in neural modules under resource constraints

https://github.com/MLforHealth/rl_representations

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An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

https://github.com/Mr8ND/ACORE-LFI

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Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference

https://github.com/NVIDIA/Megatron-LM

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Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study

https://github.com/RaptorMai/online-continual-learning

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Online Class-Incremental Continual Learning with Adversarial Shapley Value

https://github.com/RuntianZ/doro

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DORO: Distributional and Outlier Robust Optimization

https://github.com/SoumyaTGhosh/hs-bnn-public

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Model Selection in Bayesian Neural Networks via Horseshoe Priors

https://github.com/Trusted-AI/AIX360

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Leveraging Latent Features for Local Explanations

https://github.com/UppsalaNLP/uuparser

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Parser Training with Heterogeneous Treebanks

https://github.com/Vivianstats/TUBE

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Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification

https://github.com/YueWuHKUST/CVPR2022-Optimizing-Video-Prediction-via-Video-Frame-Interpolation

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Optimizing Video Prediction via Video Frame Interpolation

https://github.com/aaaasssddf/PIP-experiments

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On the Dimensionality of Word Embedding

https://github.com/acade-mate/o2-searcher

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O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering

https://github.com/accuracy-disparity/at-on-ad

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Understanding the Impact of Adversarial Robustness on Accuracy Disparity

https://github.com/achernikova/cybersecurity_evasion

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FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments

https://github.com/ahalterman/event_location

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Geolocating Political Events in Text

https://github.com/ai-se/semi-supervised

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When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors

https://github.com/akariasai/evidentiality_qa

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Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

https://github.com/alab-nii/multi-hop-analysis

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Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering

https://github.com/aletcher/impossibility-global-convergence

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On the Impossibility of Global Convergence in Multi-Loss Optimization

https://github.com/alexwarstadt/data_generation

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Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs

https://github.com/allenai/gooaq

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GooAQ: Open Question Answering with Diverse Answer Types

https://github.com/amayuelas/knowledge-of-knowledge

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Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models

https://github.com/amazon-science/auto-rag-eval

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Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation

https://github.com/amazon-science/llm-hallucinations-factual-qa

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On Early Detection of Hallucinations in Factual Question Answering

https://github.com/andreasvc/litquest

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Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments

https://github.com/andrew-cullen/doublebubble

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Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity

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