ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation https://arxiv.org/abs/2412.19819 #cs.AR #cs.AI
GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection https://arxiv.org/abs/2412.19820 #cs.CL #cs.AI #cs.LG
Nanoscaling Floating-Point (NxFP): NanoMantissa, Adaptive Microexponents, and Code Recycling for Direct-Cast Compression of Large Language Models https://arxiv.org/abs/2412.19821 #cs.AR #cs.AI #cs.DC #cs.LG
A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions https://arxiv.org/abs/2412.19823 #cs.NI #cs.AI #cs.LG
AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Models https://arxiv.org/abs/2412.19824 #cs.AR #cs.AI #cs.SE
Exploring Text Representations for Online Misinformation https://arxiv.org/abs/2412.18618 #cs.CL #cs.SI
Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning https://arxiv.org/abs/2412.18621 #cs.CL
Why Do Large Language Models (LLMs) Struggle to Count Letters? https://arxiv.org/abs/2412.18626 #cs.CL
KRAIL: A Knowledge-Driven Framework for Base Human Reliability Analysis Integrating IDHEAS and Large Language Models https://arxiv.org/abs/2412.18627 #cs.CL
Tuning Nonlinear Elastic Materials under Small and Large Deformations https://arxiv.org/abs/2412.18631 #cond-mat.mtrl-sci #cs.GR
Edge-AI for Agriculture: Lightweight Vision Models for Disease Detection in Resource-Limited Settings https://arxiv.org/abs/2412.18635 #cs.CV #cs.AI #cs.CY
A Grounded Observer Framework for Establishing Guardrails for Foundation Models in Socially Sensitive Domains https://arxiv.org/abs/2412.18639 #cs.RO #cs.AI
ZenSVI: An Open-Source Software for the Integrated Acquisition, Processing and Analysis of Street View Imagery Towards Scalable Urban Science https://arxiv.org/abs/2412.18641 #cs.CV
DynaGRAG: Improving Language Understanding and Generation through Dynamic Subgraph Representation in Graph Retrieval-Augmented Generation https://arxiv.org/abs/2412.18644 #cs.CL #cs.AI #cs.LG
Inductive Linguistic Reasoning with Large Language Models https://arxiv.org/abs/2412.17819 #cs.CL #cs.AI
The Rosetta Paradox: Domain-Specific Performance Inversions in Large Language Models https://arxiv.org/abs/2412.17821 #cs.CL #cs.AI
Leveraging Sentiment for Offensive Text Classification https://arxiv.org/abs/2412.17825 #cs.CL
Look Ahead Text Understanding and LLM Stitching https://arxiv.org/abs/2412.17836 #cs.CL
Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding https://arxiv.org/abs/2412.17837 #cs.CL
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