Papers
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
Yuan Wang, Xuyang Wu, Hsin-Tai Wu et al.
TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition
Md Mahadi Hasan Nahid, Davood Rafiei
The ART of LLM Refinement: Ask, Refine, and Trust
Kumar Shridhar, Koustuv Sinha, Andrew Cohen et al.
DialogBench: Evaluating LLMs as Human-like Dialogue Systems
Jiao Ou, Junda Lu, Che Liu et al.
Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
Zhichen Dong, Zhanhui Zhou, Chao Yang et al.
Divergent Token Metrics: Measuring degradation to prune away LLM components – and optimize quantization
Björn Deiseroth, Max Meuer, Nikolas Gritsch et al.
Beyond Performance: Quantifying and Mitigating Label Bias in LLMs
Yuval Reif, Roy Schwartz
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
Yukun Zhao, Lingyong Yan, Weiwei Sun et al.
Bridging the Gap between Different Vocabularies for LLM Ensemble
Yangyifan Xu, Jinliang Lu, Jiajun Zhang
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
Ming Li, Yong Zhang, Zhitao Li et al.
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval
Nandan Thakur, Jianmo Ni, Gustavo Hernandez Abrego et al.
Actively Learn from LLMs with Uncertainty Propagation for Generalized Category Discovery
Jinggui Liang, Lizi Liao, Hao Fei et al.
Unveiling Divergent Inductive Biases of LLMs on Temporal Data
Sindhu Kishore, Hangfeng He
Can LLM’s Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis
Vishnu Sashank Dorbala, Sanjoy Chowdhury, Dinesh Manocha
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
Honglei Zhuang, Zhen Qin, Kai Hui et al.
Llama meets EU: Investigating the European political spectrum through the lens of LLMs
Ilias Chalkidis, Stephanie Brandl
A Continued Pretrained LLM Approach for Automatic Medical Note Generation
Dong Yuan, Eti Rastogi, Gautam Naik et al.
CPopQA: Ranking Cultural Concept Popularity by LLMs
Ming Jiang, Mansi Joshi
Arithmetic Reasoning with LLM: Prolog Generation & Permutation
Xiaocheng Yang, Bingsen Chen, Yik-Cheung Tam
Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications?
Yotam Intrator, Matan Halfon, Roman Goldenberg et al.
Low-code LLM: Graphical User Interface over Large Language Models
Yuzhe Cai, Shaoguang Mao, Wenshan Wu et al.
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs
Patrick Haller, Ansar Aynetdinov, Alan Akbik
RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs
Bowen Tan, Yun Zhu, Lijuan Liu et al.
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents
Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito et al.