Large Language Model

Large language models (LLMs) are sophisticated AI systems designed to process and generate human-like text, aiming to improve various natural language processing tasks. Current research focuses on enhancing LLM safety, efficiency (through techniques like quantization and optimized decoding), and fairness, as well as improving their ability to perform complex reasoning and handle diverse instructions. These advancements are significant because they address critical limitations in current LLMs and pave the way for broader applications across diverse fields, including healthcare, legal tech, and autonomous systems.

Papers

October 15, 2024

Multi-round jailbreak attack on large language models
Yihua Zhou, Xiaochuan Shi
Large Language Model Jailbreak Attack Unsafe Prompt
AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data
Xinjie Zhao, Moritz Blum, Rui Yang, Boming Yang, Luis Márquez Carpintero, Mónica Pina-Navarro, Tony Wang, Xin Li, Huitao Li, Yanran Fu, Rongrong Wang, Juntao Zhang, Irene Li
Large Language Model Knowledge Graph Multi Agent Chatbot Response Private Data Language Interaction Domain Task
Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion Prediction
Renhang Liu, Abhinaba Roy, Dorien Herremans
Large Language Model Feature Embeddings Better Zero Cross Dataset Emotion Label Music Emotion Music Emotion Recognition
Revisiting Benchmark and Assessment: An Agent-based Exploratory Dynamic Evaluation Framework for LLMs
Wanying Wang, Zeyu Ma, Pengfei Liu, Mingang Chen
Large Language Model New Benchmark Direct Assessment Evaluation Benchmark Automatic Evaluation Evaluation Framework Evaluation Set Multi Agent Exploration
O-Edit: Orthogonal Subspace Editing for Language Model Sequential Editing
Yuchen Cai, Ding Cao
Large Language Model Sequence to Sequence Human Editing Knowledge Editing Knowledge Editing Method Sequential Editing
Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models
Hao Yang, Lizhen Qu, Ehsan Shareghi, Gholamreza Haffari
Large Language Model Full Model Jailbreak Attack Large Language Attack Success Rate Jigsaw Puzzle Malicious Query
LR-SQL: A Supervised Fine-Tuning Method for Text2SQL Tasks under Low-Resource Scenarios
Wen Wuzhenghong, Zhang Yongpan, Pan Su, Sun Yuwei, Lu Pengwei, Ding Cheng
Large Language Model Fine Tuning Text to SQL Supervised Fine Tuning Din SQL SQL Generation Low Resource Scenario
Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models
Sahar Iravani, Tim .O .F Conrad
Large Language Model Language Model LeArning Abstract Natural Language Processing Different Context Open Source Model Self Feedback Table to Text Generation Traditional Evaluation Metric
LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs
Volker Strobel, Marco Dorigo, Mario Fritz
Large Language Model Human Robot Collaboration Robot Swarm Reason Giving Robot Action High Level Plan Human Swarm
LargePiG: Your Large Language Model is Secretly a Pointer Generator
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
Large Language Model Language Model Large Vision Language Model Query Generation Factuality Detection
RATE: Score Reward Models with Imperfect Rewrites of Rewrites
David Reber, Sean Richardson, Todd Nief, Cristina Garbacea, Victor Veitch
Large Language Model Reward Model Universal Rate Attribute Manipulation Multi Attribute Helpfulness Dataset
Sequential LLM Framework for Fashion Recommendation
Han Liu, Xianfeng Tang, Tianlang Chen, Jiapeng Liu, Indu Indu, Henry Peng Zou, Peng Dai, Roberto Fernandez Galan, Michael D Porter, Dongmei Jia, Ning Zhang, Lian Xiong
Large Language Model Recommendation System Fashion Domain Fashion Datasets Fashion Recommendation
Subspace Optimization for Large Language Models with Convergence Guarantees
Yutong He, Pengrui Li, Yipeng Hu, Chuyan Chen, Kun Yuan
Large Language Model Early Stage Convergence Convergence Guarantee Formal Guarantee Subspace Learning Sparse Optimization
In-Context Learning for Long-Context Sentiment Analysis on Infrastructure Project Opinions
Alireza Shamshiri, Kyeong Rok Ryu, June Young Park
Large Language Model Context Learning GPT 4 Long Context Sentiment Polarity Shot Scenario
On the Capacity of Citation Generation by Large Language Models
Haosheng Qian, Yixing Fan, Ruqing Zhang, Jiafeng Guo
Large Language Model Retrieval Augmented Generation Response Generation Capacity Loss Citation Generation
Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models
Xiao Peng, Liang Chen
Large Language Model Language Model Prompt Engineering Shot Prompting Legal Judgment Prediction Semantic Retrieval
Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents
Bolun Sun, Yifan Zhou, Haiyun Jiang
Large Language Model Agent Smith User Base Interactive No Code Privacy Analysis Privacy Sensitive User Understanding
Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses
Pranav Narayanan Venkit, Philippe Laban, Yilun Zhou, Yixin Mao, Chien-Sheng Wu
Large Language Model Question Answering Non Negative Textual Response Search Engine Deep Learning Era Answer Retrieval Generative Search Engine

October 14, 2024

Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflicts
Sharon Levy, William D. Adler, Tahilin Sanchez Karver, Mark Dredze, Michelle R. Kaufman
Large Language Model Study Feature Gender Bias Gender Stereotype Gender Balance
Persistent Topological Features in Large Language Models
Yuri Gardinazzi, Giada Panerai, Karthik Viswanathan, Alessio Ansuini, Alberto Cazzaniga, Matteo Biagetti
Large Language Model Topological Data Analysis Topological Feature Internal Representation

Large Language Model

Papers

Multi-round jailbreak attack on large language models

AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data

Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion Prediction

Revisiting Benchmark and Assessment: An Agent-based Exploratory Dynamic Evaluation Framework for LLMs

O-Edit: Orthogonal Subspace Editing for Language Model Sequential Editing

Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models

LR-SQL: A Supervised Fine-Tuning Method for Text2SQL Tasks under Low-Resource Scenarios

Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models

LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs

LargePiG: Your Large Language Model is Secretly a Pointer Generator

RATE: Score Reward Models with Imperfect Rewrites of Rewrites

Sequential LLM Framework for Fashion Recommendation

Subspace Optimization for Large Language Models with Convergence Guarantees

In-Context Learning for Long-Context Sentiment Analysis on Infrastructure Project Opinions

On the Capacity of Citation Generation by Large Language Models

Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models

Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents

Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses

Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflicts

Persistent Topological Features in Large Language Models