Papers
5,479 papers found
From Text to Maps: LLM-Driven Extraction and Geotagging of Epidemiological Data
Karlyn K. Harrod, Prabin Bhandari, Antonios Anastasopoulos
RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews
Satpreet Harcharan Singh, Kevin Jiang, Kanchan Bhasin et al.
Should We Respect LLMs? A Cross-Lingual Study on the Influence of Prompt Politeness on LLM Performance
Ziqi Yin, Hao Wang, Kaito Horio et al.
A Test Suite of Prompt Injection Attacks for LLM-based Machine Translation
Antonio Valerio Miceli Barone, Zhifan Sun
Efficient Terminology Integration for LLM-based Translation in Specialized Domains
Sejoon Kim, Mingi Sung, Jeonghwan Lee et al.
Brotherhood at WMT 2024: Leveraging LLM-Generated Contextual Conversations for Cross-Lingual Image Captioning
Siddharth Betala, Ishan Chokshi
Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows
Xinye Yang, Yida Mu, Kalina Bontcheva et al.
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data
Mara Finkelstein, David Vilar, Markus Freitag
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis
Hippolyte Gisserot-Boukhlef, Ricardo Rei, Emmanuel Malherbe et al.
CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching
Cheng Shen, Yew-Soon Ong, Joey Tianyi Zhou
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
Dawei Li, Bohan Jiang, Liangjie Huang et al.
MultiAgentESC: A LLM-based Multi-Agent Collaboration Framework for Emotional Support Conversation
Yangyang Xu, Jinpeng Hu, Zhuoer Zhao et al.
From Personas to Talks: Revisiting the Impact of Personas on LLM-Synthesized Emotional Support Conversations
Shenghan Wu, Yimo Zhu, Wynne Hsu et al.
LLM-Driven Implicit Target Augmentation and Fine-Grained Contextual Modeling for Zero-Shot and Few-Shot Stance Detection
Yanxu Ji, Jinzhong Ning, Yijia Zhang et al.
PoSum-Bench: Benchmarking Position Bias in LLM-based Conversational Summarization
Xu Sun, Lionel Delphin-Poulat, Christèle Tarnec et al.
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors
Hao Fang, Jiawei Kong, Tianqu Zhuang et al.
VELA: An LLM-Hybrid-as-a-Judge Approach for Evaluating Long Image Captions
Kazuki Matsuda, Yuiga Wada, Shinnosuke Hirano et al.
LLM-Independent Adaptive RAG: Let the Question Speak for Itself
Maria Marina, Nikolay Ivanov, Sergey Pletenev et al.
LLM-OREF: An Open Relation Extraction Framework Based on Large Language Models
Hongyao Tu, Liang Zhang, Yujie Lin et al.
Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments
Harsh Vishwakarma, Ankush Agarwal, Ojas Patil et al.
On LLM-Based Scientific Inductive Reasoning Beyond Equations
Brian S. Lin, Jiaxin Yuan, Zihan Zhou et al.
Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs
Shuo Yang, Zheyu Zhang, Bardh Prenkaj et al.
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains
Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction
Huanxin Sheng, Xinyi Liu, Hangfeng He et al.
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
Tianhao Wu, Weizhe Yuan, Olga Golovneva et al.