Papers
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
FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document
Joonho Yang, Seunghyun Yoon, ByeongJeong Kim et al.
Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling
Irfan Robbani, Paul Reisert, Surawat Pothong et al.
“Flex Tape Can’t Fix That”: Bias and Misinformation in Edited Language Models
Karina Halevy, Anna Sotnikova, Badr AlKhamissi et al.
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization
Mingye Zhu, Yi Liu, Quan Wang et al.
FLIRT: Feedback Loop In-context Red Teaming
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy et al.
FLORES+ Translation and Machine Translation Evaluation for the Erzya Language
Isai Gordeev, Sergey Kuldin, David Dale
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents
Ruixuan Xiao, Wentao Ma, Ke Wang et al.
Focused Large Language Models are Stable Many-Shot Learners
Peiwen Yuan, Shaoxiong Feng, Yiwei Li et al.