Papers
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought
Bowen Li, Ziqi Xu, Jing Ren et al.
MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference
Zheyuan Zhang, Lin Ge, Hongjiang Li et al.
Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
Yilun Liu, Yunpu Ma, Yuetian Lu et al.
MATH-IDN: A Multilingual Mathematical Problem Solving Dataset Featuring Local Languages in Indonesia
Xiao Xiao, Iftitahu Ni'mah, Yuyun Wabula et al.
HARM: Learning Hate-Aware Reward Model for Evaluating Natural Language Explanations of Offensive Content
Lorenzo Puppi Vecchi, Alceu De Souza Britto Jr., Emerson Cabrera Paraiso et al.
Language Model-Driven Data Pruning Enables Efficient Active Learning
Abdul Hameed Azeemi, Ihsan Ayyub Qazi, Agha Ali Raza
RiddleBench: A New Generative Reasoning Benchmark for LLMs
Deepon Halder, Alan Saji, Thanmay Jayakumar et al.
FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation
Fatema Siddika, Md Anwar Hossen, Juan Pablo Munoz et al.
Efficient Table Retrieval and Understanding with Multimodal Large Language Models
Zhuoyan Xu, Haoyang Fang, Boran Han et al.
QueerGen: How LLMs Reflect Societal Norms on Gender and Sexuality in Sentence Completion Task
Mae Sosto, Delfina S. Martinez Pandiani, Laura Hollink
QFrBLiMP: a Quebec-French Benchmark of Linguistic Minimal Pairs
David Beauchemin, Pier-Luc Veilleux, Richard Khoury et al.
How Many Ratings per Item are Necessary for Reliable Significance Testing?
Christopher M Homan, Flip Korn, Deepak Pandita et al.
Towards Fair and Efficient De-identification: Quantifying the Efficiency and Generalizability of De-identification Approaches
Noopur Zambare, Kiana Aghakasiri, Carissa Lin et al.
JuriFindIT: an Italian legal retrieval dataset
Niko Dalla Noce, Davide Colla, Sina Farhang Doust et al.
Mitigating Causal Bias in LLMs via Potential Outcomes Framework and Actual Causality Theory
Yiheng Zhao, Yuanliang Li, Shreya Savant et al.
PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva et al.
The Curse of Verbalization: How Presentation Order Constrains LLM Reasoning
Yue Zhou, Henry Peng Zou, Barbara Di Eugenio et al.
Knowing What’s Missing: Assessing Information Sufficiency in Question Answering
Akriti Jain, Aparna Garimella
Can ChatGPT Really Understand Modern Chinese Poetry?
Shanshan Wang, Derek F. Wong, Jingming Yao et al.
A Scalable Framework for Automated NER Annotation Correction in Low-Resource Languages
Toqeer Ehsan, Thamar Solorio
Revealing Redundant Syntax in Large Language Models through Multi-Hop Dependency Paths
Masaki Sashida, Takeshi Kojima, Yusuke Iwasawa et al.
Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs
Yusuke Nakamura, Hirokazu Kiyomaru, Chaoran Liu et al.
Emotion Recognition in Multi-Speaker Conversations through Speaker Identification, Knowledge Distillation, and Hierarchical Fusion
Li Xiao, Kotaro Funakoshi, Manabu Okumura
ReBPE: Iteratively Improving the Internal Structure of a Structured Tokeniser by Mining its Internal Structure
Thomas Bauwens, Miryam de Lhoneux
ReciFine: Finely Annotated Recipe Dataset for Controllable Recipe Generation
Nuhu Ibrahim, Rishi Ravikumar, Robert Stevens et al.