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Found 16 papers, 3 papers with code
Rephrase and Contrast: Fine-Tuning Language Models for Enhanced Understanding of Communication and Computer Networks
Large language models (LLMs) are being widely researched across various disciplines, with significant recent efforts focusing on adapting LLMs for understanding of how communication networks operate.
Characterizing and Evaluating the Reliability of LLMs against Jailbreak Attacks
Additionally, we explore the relationships among the models, attack strategies, and types of harmful content, as well as the correlations between the evaluation metrics, which proves the validity of our multifaceted evaluation framework.
Addressing Out-of-Distribution Challenges in Image Semantic Communication Systems with Multi-modal Large Language Models
Semantic communication is a promising technology for next-generation wireless networks.
Robust dividend policy: Equivalence of Epstein-Zin and Maenhout preferences
In a continuous-time economy, this study formulates the Epstein-Zin (EZ) preference for the discounted dividend (or cash payouts) of stockholders as an EZ singular control utility.
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery
We further design an adaptive weight assignment approach that balances the generalization ability of the LLM and the domain expertise of the old CL model.
An Autonomous Large Language Model Agent for Chemical Literature Data Mining
The proposed approach marks a significant advancement in automating chemical literature extraction and demonstrates the potential for AI to revolutionize data management and utilization in chemistry.
A Multi-day Needs-based Modeling Approach for Activity and Travel Demand Analysis
The utility includes both the benefit in the inventory gained and the cost in time, monetary expense as well as maintenance of safety stock.
Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis
Recent AI research plots a promising future of automatic chemical reactions within the chemistry society.
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following
We introduce Point-Bind, a 3D multi-modality model aligning point clouds with 2D image, language, audio, and video.
Ranked #5 on
3D Question Answering (3D-QA)
on 3D MM-Vet
The Power of Large Language Models for Wireless Communication System Development: A Case Study on FPGA Platforms
We begin by exploring LLM-assisted code refactoring, reuse, and validation, using an open-source software-defined radio (SDR) project as a case study.
Duality in optimal consumption--investment problems with alternative data
This study investigates an optimal consumption--investment problem in which the unobserved stock trend is modulated by a hidden Markov chain that represents different economic regimes.
MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails
In high-throughput experimentation (HTE) datasets, the average yield of our methodology's top 10 high-yield reactions is relatively close to the results of ideal yield selection.
Optimal Expansion of Business Opportunity
The length of the waiting period is related to the opportunity cost, return, and risk of the expanded business.
Step-Wise Hierarchical Alignment Network for Image-Text Matching
Image-text matching plays a central role in bridging the semantic gap between vision and language.
Neuroevolution of a Recurrent Neural Network for Spatial and Working Memory in a Simulated Robotic Environment
Animals ranging from rats to humans can demonstrate cognitive map capabilities.
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation
To address this issue, we propose a two-stage RL agent that first learns a latent unified state representation (LUSR) which is consistent across multiple domains in the first stage, and then do RL training in one source domain based on LUSR in the second stage.
