Papers
Findings of the WMT 2024 Shared Task on Non-Repetitive Translation
Kazutaka Kinugawa, Hideya Mino, Isao Goto et al.
Findings of the WMT 2024 Shared Task Translation into Low-Resource Languages of Spain: Blending Rule-Based and Neural Systems
Felipe Sánchez-Martínez, Juan Antonio Perez-Ortiz, Aaron Galiano Jimenez et al.
Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet
Tom Kocmi, Eleftherios Avramidis, Rachel Bawden et al.
Findings of WMT2024 English-to-Low Resource Multimodal Translation Task
Shantipriya Parida, Ondřej Bojar, Idris Abdulmumin et al.
Findings of WMT 2024 Shared Task on Low-Resource Indic Languages Translation
Partha Pakray, Santanu Pal, Advaitha Vetagiri et al.
Findings of WMT 2024’s MultiIndic22MT Shared Task for Machine Translation of 22 Indian Languages
Raj Dabre, Anoop Kunchukuttan
Finding the Optimal Byte-Pair Encoding Merge Operations for Neural Machine Translation in a Low-Resource Setting
Kristine Mae M. Adlaon, Nelson Marcos
FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents
Yilun Zhao, Yitao Long, Tintin Jiang et al.
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension
Junzhuo Liu, Xuzheng Yang, Weiwei Li et al.
Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates
Aida Kostikova, Benjamin Paassen, Dominik Beese et al.
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models
XiaoHua Feng, Chaochao Chen, Yuyuan Li et al.
Fine-Grained Prediction of Reading Comprehension from Eye Movements
Omer Shubi, Yoav Meiri, Cfir Avraham Hadar et al.
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
Dilara Soylu, Christopher Potts, Omar Khattab
Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification
Zeren Shui, Petros Karypis, Daniel S. Karls et al.
Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation
Xianzhi Li, Ran Zmigrod, Zhiqiang Ma et al.
Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow
Tian Guo, Emmanuel Hauptmann
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?
Dawei Zhu, Pinzhen Chen, Miaoran Zhang et al.
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Oded Ovadia, Menachem Brief, Moshik Mishaeli et al.
Fine-tuning Smaller Language Models for Question Answering over Financial Documents
Karmvir Singh Phogat, Sai Akhil Puranam, Sridhar Dasaratha et al.
FIRST: Faster Improved Listwise Reranking with Single Token Decoding
Revanth Gangi Reddy, JaeHyeok Doo, Yifei Xu et al.
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning
Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi et al.
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation
KaShun Shum, Minrui Xu, Jianshu Zhang et al.
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models
Ji Liu, Jiaxiang Ren, Ruoming Jin et al.
Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models
Sander Land, Max Bartolo