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Large language models can learn temporal reasoning
While large language models (LLMs) have demonstrated remarkable reasoning capabilities,
they are not without their flaws and inaccuracies. Recent studies have introduced various …
they are not without their flaws and inaccuracies. Recent studies have introduced various …
Advancing prompt recovery in nlp: A deep dive into the integration of gemma-2b-it and phi2 models
J Chen, W Xu, Z Ding, J Xu, H Yan… - 2024 IEEE 6th …, 2024 - ieeexplore.ieee.org
Prompt recovery, a crucial task in natural language processing, entails the reconstruction of
prompts or instructions that language models use to convert input text into a specific output …
prompts or instructions that language models use to convert input text into a specific output …
Length-aware multi-kernel transformer for long document classification
Lengthy documents pose a unique challenge to neural language models due to substantial
memory consumption. While existing state-of-the-art (SOTA) models segment long texts into …
memory consumption. While existing state-of-the-art (SOTA) models segment long texts into …
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey
Large Language Models (LLMs) have achieved unparalleled success across diverse
language modeling tasks in recent years. However, this progress has also intensified ethical …
language modeling tasks in recent years. However, this progress has also intensified ethical …
[TRÍCH DẪN][C] Assessing User Trust in LLM-based Mental Health Applications: Perceptions of Reliability and Effectiveness
[TRÍCH DẪN][C] Low-latency, high-throughput load balancing algorithms
L Wang - Journal of Computer Technology and Applied …, 2024
[TRÍCH DẪN][C] Optimizing Management Strategies for Enhanced Performance and Energy Efficiency in Modern Computing Systems
C Song - Academic Journal of Sociology and Management, 2024
[TRÍCH DẪN][C] The Impact of Network Load Balancing on Organizational Efficiency and Managerial Decision-Making in Digital Enterprises
L Wang - Academic Journal of Sociology and Management, 2024