1 |
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
ANLIzing the Adversarial Natural Language Inference Dataset
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2022)
|
|
BASE
|
|
Show details
|
|
3 |
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
FLAVA: A Foundational Language And Vision Alignment Model ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Gradient-based Adversarial Attacks against Text Transformers ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Deep Artificial Neural Networks Reveal a Distributed Cortical Network Encoding Propositional Sentence-Level Meaning
|
|
|
|
In: J Neurosci (2021)
|
|
BASE
|
|
Show details
|
|
13 |
Emergent Linguistic Phenomena in Multi-Agent Communication Games ...
|
|
|
|
Abstract:
In this work, we propose a computational framework in which agents equipped with communication capabilities simultaneously play a series of referential games, where agents are trained using deep reinforcement learning. We demonstrate that the framework mirrors linguistic phenomena observed in natural language: i) the outcome of contact between communities is a function of inter- and intra-group connectivity; ii) linguistic contact either converges to the majority protocol, or in balanced cases leads to novel creole languages of lower complexity; and iii) a linguistic continuum emerges where neighboring languages are more mutually intelligible than farther removed languages. We conclude that intricate properties of language evolution need not depend on complex evolved linguistic capabilities, but can emerge from simple social exchanges between perceptually-enabled agents playing communication games. ... : EMNLP 2019 ...
|
|
Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Social and Information Networks cs.SI
|
|
URL: https://arxiv.org/abs/1901.08706 https://dx.doi.org/10.48550/arxiv.1901.08706
|
|
BASE
|
|
Hide details
|
|
14 |
Inferring concept hierarchies from text corpora via hyperbolic embeddings ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Inferring concept hierarchies from text corpora via hyperbolic embeddings
|
|
|
|
In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) (2019)
|
|
BASE
|
|
Show details
|
|
18 |
Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Virtual Embodiment: A Scalable Long-Term Strategy for Artificial Intelligence Research ...
|
|
|
|
BASE
|
|
Show details
|
|
20 |
HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|