conftrace_

autoregressive model

456 papers

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Co-occurring keywords

image generation (2073) generative model (2892) language model (4599) diffusion model (3751) large language model (13587) text generation (2913) variational autoencoder (1288) autoregressive generation (110) vector quantization (257) density estimation (398)

Papers

Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation AAAI 2024
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies ACL 2024
Learning to Rank in Generative Retrieval AAAI 2024
CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models EMNLP 2024
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? NAACL 2024
Order-Independence Without Fine Tuning NIPS 2024
Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards EMNLP 2024
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics NIPS 2024
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed AAAI 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation NIPS 2024
Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection EMNLP 2024
ChatCam: Empowering Camera Control through Conversational AI NIPS 2024
Learned Lossless Image Compression based on Bit Plane Slicing CVPR 2024
Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities CVPR 2024
Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation AAAI 2024
Multivariate Probabilistic Time Series Forecasting with Correlated Errors NIPS 2024
JumpCoder: Go Beyond Autoregressive Coder via Online Modification ACL 2024
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time AAAI 2024
Enhancing Multi-Label Classification via Dynamic Label-Order Learning AAAI 2024
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality ACL 2024
Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences NIPS 2024
Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers CVPR 2024
T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text ACL 2024
Alleviating Exposure Bias in Abstractive Summarization via Sequentially Generating and Revising COLING 2024