Papers
Aligning Black-box Language Models with Human Judgments
Gerrit J.j. Van Den Burg, Gen Suzuki, Wei Liu et al.
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems
Juraj Vladika, Florian Matthes
LOFT: Scalable and More Realistic Long-Context Evaluation
Jinhyuk Lee, Anthony Chen, Zhuyun Dai et al.
LLMs for Extremely Low-Resource Finno-Ugric Languages
Taido Purason, Hele-Andra Kuulmets, Mark Fishel
Beyond the Mode: Sequence-Level Distillation of Multilingual Translation Models for Low-Resource Language Pairs
Aarón Galiano-Jiménez, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez et al.
Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation
Luca Moroni, Giovanni Puccetti, Pere-Lluís Huguet Cabot et al.
VisualCoder: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning
Cuong Le Chi, Chau Truong Vinh Hoang, Phan Nhật Huy et al.
kNN For Whisper And Its Effect On Bias And Speaker Adaptation
Maya K. Nachesa, Vlad Niculae
Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models
Weidi Luo, He Cao, Zijing Liu et al.
MMLF: Multi-query Multi-passage Late Fusion Retrieval
Yuan-Ching Kuo, Yi Yu, Chih-Ming Chen et al.
Exploring Backward Reasoning in Large Language Models
Leonardo Ranaldi, Giulia Pucci
Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction
Shengbin Yue, Ting Huang, Zheng Jia et al.
As easy as PIE: understanding when pruning causes language models to disagree
Pietro Tropeano, Maria Maistro, Tuukka Ruotsalo et al.
Breaking ReAct Agents: Foot-in-the-Door Attack Will Get You In
Itay Nakash, George Kour, Guy Uziel et al.
Investigating the Zone of Proximal Development of Language Models for In-Context Learning
Peng Cui, Mrinmaya Sachan
Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis
Angelina Parfenova, Andreas Marfurt, Jürgen Pfeffer et al.
Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context
Sangwon Yu, Ik-hwan Kim, Jongyoon Song et al.
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
Yaswanth M, Vaibhav Singh, Ayush Maheshwari et al.
CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V
Siyu Xu, Yunke Wang, Daochang Liu et al.
SOLID: Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking Dialogs
Arian Askari, Roxana Petcu, Chuan Meng et al.
DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking
Hoang Anh Just, Mahavir Dabas, Lifu Huang et al.
Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference
Go Kamoda, Benjamin Heinzerling, Tatsuro Inaba et al.
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models
Hongbang Yuan, Yubo Chen, Pengfei Cao et al.
CAPE: A Chinese Dataset for Appraisal-based Emotional Generation in Large Language Models
June M. Liu, He Cao, Renliang Sun et al.
Discrete Diffusion Language Model for Efficient Text Summarization
Do Huu Dat, Duc Anh Do, Anh Tuan Luu et al.