https://openreview.net/forum?id=6QyGTjHyd8P&referrer=%5Bthe%20profile%20of%20Oskar%20van%20der%20Wal%5D(%2Fprofile%3Fid%3D~Oskar_van_der_Wal1)
Inseq: An Interpretability Toolkit for Sequence Generation Models | OpenReview
Past work in natural language processing interpretability focused mainly on popular classification tasks while largely overlooking generation settings, partly...
sequence generationinterpretabilitytoolkitmodelsopenreview
https://aclanthology.org/2023.acl-demo.40/
Inseq: An Interpretability Toolkit for Sequence Generation Models - ACL Anthology
Gabriele Sarti, Nils Feldhus, Ludwig Sickert, Oskar van der Wal. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics...
sequence generationinterpretabilitytoolkitmodelsacl
https://elifesciences.org/articles/56942v1
Flexible motor sequence generation during stereotyped escape responses | eLife
sequence generationflexiblemotorstereotypedescape
https://openreview.net/forum?id=yW2xBKonVg
Fast and Memory-Efficient Multi-Sequence Generation via Structured Masking | OpenReview
Many applications of large language models (LLM) require drawing multiple samples from a single prompt, also known as multi-sequence generation. Current...
sequence generationfastmemoryefficientmulti
https://openreview.net/forum?id=BydLzGb0Z
Twin Networks: Matching the Future for Sequence Generation | OpenReview
The paper introduces a method of training generative recurrent networks that helps to plan ahead. We run a second RNN in a reverse direction and make a soft...
the futuresequence generationtwinnetworksmatching
https://openreview.net/forum?id=eZh2UyeMrg&referrer=%5Bthe%20profile%20of%20Jingjing%20Liu%5D(%2Fprofile%3Fid%3D~Jingjing_Liu2)
ShortListing Model: A Streamlined Simplex Diffusion for Biological Sequence Generation | OpenReview
Generative modeling of discrete variables is challenging yet crucial for applications in natural language processing and biological sequence design. We...
model abiological sequenceshortlistingstreamlinedsimplex
https://deepai.org/publication/socialinteractiongan-multi-person-interaction-sequence-generation
SocialInteractionGAN: Multi-person Interaction Sequence Generation | DeepAI
Mar 10, 2021 - 03/10/21 - Prediction of human actions in social interactions has important applications in the design of social robots or artificial avatars...
multi personsequence generationinteractiondeepai
https://openreview.net/forum?id=sbvEblPN4u
Gradient-guided discrete walk-jump sampling for biological sequence generation | OpenReview
biological sequencegradientguideddiscretewalk
https://aclanthology.org/2022.coling-1.161/
Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage...
Bo Zhou, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Qiuxia Li. Proceedings of the 29th International Conference on Computational...
with aaugmentationretrievalgenerationevent
https://scienceblogs.com/digitalbio/2009/08/14/next-generation-dna-sequencing
Next Generation DNA Sequencing does more than sequence DNA | ScienceBlogs
You might think the coolest thing about the Next Generation DNA Sequencing technologies is that we can use them to sequence long-dead mammoths, entire...
next generationdna sequencingmore thansequencescienceblogs
https://deepai.org/publication/natural-question-generation-with-reinforcement-learning-based-graph-to-sequence-model
Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model | DeepAI
Oct 19, 2019 - 10/19/19 - Natural question generation (QG) aims to generate questions from a passage and an answer. In this paper, we propose a novel reinfo...
reinforcement learning
https://openreview.net/forum?id=AprsVxrwXT
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling | OpenReview
Recent 3D large reconstruction models (LRMs) can generate high-quality 3D content in sub-seconds by integrating multi-view diffusion models with scalable...
3d contentstate spaceunifygeneration
https://www.nist.gov/publications/sequence-variation-22-autosomal-str-loci-detected-next-generation-sequencing
Sequence variation of 22 autosomal STR loci detected by next generation sequencing | NIST
Nov 10, 2018 - Sequencing short tandem repeat (STR) loci allows for determination of repeat motif variations within the STR (or entire PCR amplicon) which cannot be ascertaine
https://www.questdiagnostics.com/healthcare-professionals/clinical-education-center/conference-presentations/2023-conference-presentations/diagnostic-utility-of-next-generation-sequencing-panels-covering-difficult-to-sequence-regions-in-patients-with-suspected-cystic-kidney-disease0
Diagnostic utility of next generation sequencing panels covering difficult to sequence regions in...
Poster with the title "Diagnostic utility of next generation sequencing panels covering difficult to sequence regions in patients with suspected cystic kidney...
next generation sequencing
https://openreview.net/forum?id=HygnDhEtvr
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation | OpenReview
Natural question generation (QG) aims to generate questions from a passage and an answer. Previous works on QG either (i) ignore the rich structure information...
reinforcement learning
https://www.wikidata.org/wiki/Q21061202
Automated generation of heuristics for biological sequence comparison - Wikidata
scientific article published in 2005
biological sequenceautomatedgenerationheuristicscomparison