Zobrazeno 1 - 10
of 2 442
pro vyhledávání: '"Shah, Raj"'
Recent studies show evidence for emergent cognitive abilities in Large Pre-trained Language Models (PLMs). The increasing cognitive alignment of these models has made them candidates for cognitive science theories. Prior research into the emergent co
Externí odkaz:
http://arxiv.org/abs/2407.01047
Autor:
Du, Jiangshu, Wang, Yibo, Zhao, Wenting, Deng, Zhongfen, Liu, Shuaiqi, Lou, Renze, Zou, Henry Peng, Venkit, Pranav Narayanan, Zhang, Nan, Srinath, Mukund, Zhang, Haoran Ranran, Gupta, Vipul, Li, Yinghui, Li, Tao, Wang, Fei, Liu, Qin, Liu, Tianlin, Gao, Pengzhi, Xia, Congying, Xing, Chen, Cheng, Jiayang, Wang, Zhaowei, Su, Ying, Shah, Raj Sanjay, Guo, Ruohao, Gu, Jing, Li, Haoran, Wei, Kangda, Wang, Zihao, Cheng, Lu, Ranathunga, Surangika, Fang, Meng, Fu, Jie, Liu, Fei, Huang, Ruihong, Blanco, Eduardo, Cao, Yixin, Zhang, Rui, Yu, Philip S., Yin, Wenpeng
This work is motivated by two key trends. On one hand, large language models (LLMs) have shown remarkable versatility in various generative tasks such as writing, drawing, and question answering, significantly reducing the time required for many rout
Externí odkaz:
http://arxiv.org/abs/2406.16253
With the rapid growth of Large Language Models (LLMs), safeguarding textual content against unauthorized use is crucial. Text watermarking offers a vital solution, protecting both - LLM-generated and plain text sources. This paper presents a unified
Externí odkaz:
http://arxiv.org/abs/2406.11106
How well do representations learned by ML models align with those of humans? Here, we consider concept representations learned by deep learning models and evaluate whether they show a fundamental behavioral signature of human concepts, the typicality
Externí odkaz:
http://arxiv.org/abs/2405.16128
Autor:
Li, Andrew, Feng, Xianle, Narang, Siddhant, Peng, Austin, Cai, Tianle, Shah, Raj Sanjay, Varma, Sashank
When reading temporarily ambiguous garden-path sentences, misinterpretations sometimes linger past the point of disambiguation. This phenomenon has traditionally been studied in psycholinguistic experiments using online measures such as reading times
Externí odkaz:
http://arxiv.org/abs/2405.16042
Autor:
Chaszczewicz, Alicja, Shah, Raj Sanjay, Louie, Ryan, Arnow, Bruce A, Kraut, Robert, Yang, Diyi
Realistic practice and tailored feedback are key processes for training peer counselors with clinical skills. However, existing mechanisms of providing feedback largely rely on human supervision. Peer counselors often lack mechanisms to receive detai
Externí odkaz:
http://arxiv.org/abs/2403.15482
Autor:
Shah, Raj, Majumder, Gobinda
The India-Based Neutrino Observatory (INO) collaboration houses the miniICAL detector, at the transit campus of IICHEP, Madurai, India, which serves as a prototype-detector of the larger Iron-Calorimeter detector (ICAL). The purpose of miniICAL lies
Externí odkaz:
http://arxiv.org/abs/2403.06114
Neural networks often suffer from catastrophic interference (CI): performance on previously learned tasks drops off significantly when learning a new task. This contrasts strongly with humans, who can continually learn new tasks without appreciably f
Externí odkaz:
http://arxiv.org/abs/2401.10393
Autor:
Fang, Anna, Yang, Wenjie, Shah, Raj Sanjay, Mathur, Yash, Yang, Diyi, Zhu, Haiyi, Kraut, Robert
Online mental health support communities have grown in recent years for providing accessible mental and emotional health support through volunteer counselors. Despite millions of people participating in chat support on these platforms, the clinical e
Externí odkaz:
http://arxiv.org/abs/2312.10775
Pre-trained Large Language Models (LLMs) have shown success in a diverse set of language inference and understanding tasks. The pre-training stage of LLMs looks at a large corpus of raw textual data. The BabyLM shared task compares LLM pre-training t
Externí odkaz:
http://arxiv.org/abs/2311.04666