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20162024
most citedEvaluation of Text Generation: A Survey

200 citations · 1.3k across the 72 of their papers we have counts for

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7 papers · 1 filter

cs.LG2024

Explore Theory of Mind: Program-guided adversarial data generation for theory of mind reasoning

Melanie Sclar, Jane Yu, Maryam Fazel-Zarandi +4

Do large language models (LLMs) have theory of mind? A plethora of papers and benchmarks have been introduced to evaluate if current models have been able to develop this key abili…

cs.LG2023★ 27 cited

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

Lili Yu, Bowen Shi, Ramakanth Pasunuru +24

We present CM3Leon (pronounced "Chameleon"), a retrieval-augmented, token-based, decoder-only multi-modal language model capable of generating and infilling both text and images. C…

cs.LG2023★ 5 cited

Large Language Model Programs

Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz +4

In recent years, large pre-trained language models (LLMs) have demonstrated the ability to follow instructions and perform novel tasks from a few examples. The possibility to param…

cs.LG2020★ 1 cited

Reparameterized Variational Divergence Minimization for Stable Imitation

Dilip Arumugam, Debadeepta Dey, Alekh Agarwal +3

While recent state-of-the-art results for adversarial imitation-learning algorithms are encouraging, recent works exploring the imitation learning from observation (ILO) setting, w…

cs.LG2019★ 1 cited

Working Memory Graphs

Ricky Loynd, Roland Fernandez, Asli Celikyilmaz +2

Transformers have increasingly outperformed gated RNNs in obtaining new state-of-the-art results on supervised tasks involving text sequences. Inspired by this trend, we study the…

cs.LG2019★ 169 cited

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

Hao Fu, Chunyuan Li, Xiaodong Liu +3

Variational autoencoders (VAEs) with an auto-regressive decoder have been applied for many natural language processing (NLP) tasks. The VAE objective consists of two terms, (i) rec…

cs.LG2016★ 9 cited

Associative Adversarial Networks

Tarik Arici, Asli Celikyilmaz

We propose a higher-level associative memory for learning adversarial networks. Generative adversarial network (GAN) framework has a discriminator and a generator network. The gene…