Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Vijjini, Anvesh Rao"'
As large language models (LLMs) become increasingly integrated into daily applications, it is essential to ensure they operate fairly across diverse user demographics. In this work, we show that LLMs suffer from personalization bias, where their perf
Externí odkaz:
http://arxiv.org/abs/2406.11107
In this paper, we introduce the task of modeling interpersonal relationships for story generation. For addressing this task, we propose Relationships as Latent Variables for Story Generation, (ReLiSt). ReLiSt generates stories sentence by sentence an
Externí odkaz:
http://arxiv.org/abs/2211.00676
Autor:
Madasu, Avinash, Vijjini, Anvesh Rao
A well formed query is defined as a query which is formulated in the manner of an inquiry, and with correct interrogatives, spelling and grammar. While identifying well formed queries is an important task, few works have attempted to address it. In t
Externí odkaz:
http://arxiv.org/abs/2208.09912
While Curriculum Learning (CL) has recently gained traction in Natural language Processing Tasks, it is still not adequately analyzed. Previous works only show their effectiveness but fail short to explain and interpret the internal workings fully. I
Externí odkaz:
http://arxiv.org/abs/2102.09990
Automatic Speech Recognition (ASR) systems are evaluated using Word Error Rate (WER), which is calculated by comparing the number of errors between the ground truth and the transcription of the ASR system. This calculation, however, requires manual t
Externí odkaz:
http://arxiv.org/abs/2101.05478
Autor:
Avinash Madasu, Vijjini Anvesh Rao
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031243394
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f3ff94ab15410dabf1a89a190cb0959
https://doi.org/10.1007/978-3-031-24340-0_31
https://doi.org/10.1007/978-3-031-24340-0_31
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783030513092
NLDB
NLDB
Curriculum Learning (CL) is the idea that learning on a training set sequenced or ordered in a manner where samples range from easy to difficult, results in an increment in performance over otherwise random ordering. The idea parallels cognitive scie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c076762710dcce40f161417c45a448f3
https://doi.org/10.1007/978-3-030-51310-8_16
https://doi.org/10.1007/978-3-030-51310-8_16
Autor:
Vijjini Anvesh Rao, Avinash Madasu
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783030513092
NLDB
NLDB
Aspect Based Sentiment Analysis (ABSA) is the task of identifying sentiment polarity of a text given another text segment or aspect. In ABSA, a text can have multiple sentiments depending upon each aspect. Aspect Term Sentiment Analysis (ATSA) is a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32e2a69d7d4b3a563ad9cc1fb83afcaa
https://doi.org/10.1007/978-3-030-51310-8_14
https://doi.org/10.1007/978-3-030-51310-8_14
Autor:
Vijjini Anvesh Rao, Avinash Madasu
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783030232801
NLDB
NLDB
Domain Adaptation explores the idea of how to maximize performance on a target domain, distinct from source domain, upon which the model was trained. This idea has been explored for the task of sentiment analysis extensively. The training of reviews
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9310f24c48a2c07afb4e1fa0330d5884
https://doi.org/10.1007/978-3-030-23281-8_10
https://doi.org/10.1007/978-3-030-23281-8_10
Autor:
Vijjini Anvesh Rao, Avinash Madasu
Publikováno v:
EMNLP/IJCNLP (1)
Text classification has been one of the major problems in natural language processing. With the advent of deep learning, convolutional neural network (CNN) has been a popular solution to this task. However, CNNs which were first proposed for images,