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

January 10, 2025

Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks
Iman Barati, Arash Ghafouri, Behrouz Minaei-Bidgoli
Large Language Model Yes No Question New Task Domain Specific Task HotPotQA Dataset
Dafny as Verification-Aware Intermediate Language for Code Generation
Yue Chen Li, Stefan Zetzsche, Siva Somayyajula
Large Language Model Natural Language Code Generation Source Code Verification Aware
Personalized Language Model Learning on Text Data Without User Identifiers
Yucheng Ding, Yangwenjian Tan, Xiangyu Liu, Chaoyue Niu, Fandong Meng, Jie Zhou, Ning Liu, Fan Wu, Guihai Chen
Large Language Model Language Model USER Provided Name Text Data User Embeddings Object Identifier
Hermit Kingdom Through the Lens of Multiple Perspectives: A Case Study of LLM Hallucination on North Korea
Eunjung Cho, Won Ik Cho, Soomin Seo
Large Language Model Case Study Content Hallucination Language Specific Multiple View LLM Hallucination
Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory
Yunmeng Shu, Shaofeng Li, Tian Dong, Yan Meng, Haojin Zhu
Large Language Model Information Bottleneck Split Learning Privacy Attack Transformer Based Large Language Model Model Inversion Attack Model Inversion New Insight
Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain
Jing Guo, Nan Li, Ming Xu
Large Language Model Generative Model Data Set New Benchmark Generative AI Environmental Conservation French Census
LLMs Reproduce Stereotypes of Sexual and Gender Minorities
Ruby Ostrow, Adam Lopez
Large Language Model Gender Bias Stereotype Content Gender Identity
Controlling Large Language Models Through Concept Activation Vectors
Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He
Large Language Model Sentiment Polarity Toxicity Detection Concept Activation Vector Concept Vector
Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models
Sungjae Lee, Hyejin Park, Jaechang Kim, Jungseul Ok
Large Language Model Language Model Reasoning Path Efficient Approach Gating Mechanism Binary Forward Exploration Semantic Exploration
How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond
Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua, Jimmy Xiangji Huang
Large Language Model Timely Survey Real Human NLP Field NLP Task NLP Model Long Term Cooperation AI Model Formalization Paper
Multi-Step Reasoning in Korean and the Emergent Mirage
Guijin Son, Hyunwoo Ko, Dasol Choi
Large Language Model Complex Reasoning Commonsense Reasoning Multi Step Reasoning Emergent Ability
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch
Large Language Model Language Model Reasoning Path Reasoning ChAin Self Improvement Agent Tuning
Facilitate Collaboration between Large Language Model and Task-specific Model for Time Series Anomaly Detection
Feiyi Chen, Leilei Zhang, Guansong Pang, Roger Zimmermann, Shuiguang Deng
Large Language Model Full Model Task Specific Task Specific Model Efficient Collaboration Differentiable Loss
Large Language Models for Bioinformatics
Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu
Large Language Model Language Model Computational Biology

January 9, 2025

Exploring Large Language Models for Translating Romanian Computational Problems into English
Adrian Marius Dumitran, Adrian-Catalin Badea, Stefan-Gabriel Muscalu, Angela-Liliana Dumitran, Stefan-Cosmin Dascalescu, Radu-Sebastian Amarie
Large Language Model Related Problem Translation Accuracy Romanian Natural Language
The dynamics of meaning through time: Assessment of Large Language Models
Mohamed Taher Alrefaie, Fatty Salem, Nour Eldin Morsy, Nada Samir, Mohamed Medhat Gaber
Large Language Model Full Model Time Matter Large Language Multiple Meaning Content Analysis Temporal Understanding Semantic Shift Semantic Evolution
A survey of textual cyber abuse detection using cutting-edge language models and large language models
Jose A. Diaz-Garcia, Joao Paulo Carvalho
Large Language Model Timely Survey Full Model Cyber Bullying Abusive Language
FairCode: Evaluating Social Bias of LLMs in Code Generation
Yongkang Du, Jen-tse Huang, Jieyu Zhao, Lu Lin
Large Language Model Language Model Code Generation Social Bias Novel Benchmark Code Model Fairness Aware
Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction
Hantao Lou, Jiaming Ji, Kaile Wang, Yaodong Yang
Large Language Model Product Distribution Distribution Alignment Sentence Alignment Automatic Induction
Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning
Laura Puccioni, Alireza Farshin, Mariano Scazzariello, Changjie Wang, Marco Chiesa, Dejan Kostic
Large Language Model Edge Pruning Code Generation Task Code Model Mathematical Derivation Domain Calibration

Large Language Model

Papers

Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks

Dafny as Verification-Aware Intermediate Language for Code Generation

Personalized Language Model Learning on Text Data Without User Identifiers

Hermit Kingdom Through the Lens of Multiple Perspectives: A Case Study of LLM Hallucination on North Korea

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory

Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain

LLMs Reproduce Stereotypes of Sexual and Gender Minorities

Controlling Large Language Models Through Concept Activation Vectors

Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models

How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond

Multi-Step Reasoning in Korean and the Emergent Mirage

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Facilitate Collaboration between Large Language Model and Task-specific Model for Time Series Anomaly Detection

Large Language Models for Bioinformatics

Exploring Large Language Models for Translating Romanian Computational Problems into English

The dynamics of meaning through time: Assessment of Large Language Models

A survey of textual cyber abuse detection using cutting-edge language models and large language models

FairCode: Evaluating Social Bias of LLMs in Code Generation

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction

Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning