Papers
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge
Shangbin Feng, Vidhisha Balachandran, Yuyang Bai et al.
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu et al.
FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation
Kun Zhang, Oana Balalau, Ioana Manolescu
Factual Relation Discrimination for Factuality-oriented Abstractive Summarization
Zhiguang Gao, Peifeng Li, Feng Jiang et al.
Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation
Zeyuan Yang, Peng Li, Yang Liu
Fair Text Classification with Wasserstein Independence
Thibaud Leteno, Antoine Gourru, Charlotte Laclau et al.
Fair Without Leveling Down: A New Intersectional Fairness Definition
Gaurav Maheshwari, Aurélien Bellet, Pascal Denis et al.
Faithful Model Evaluation for Model-Based Metrics
Qian Hu, Palash Goyal, Rahul Gupta
FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices
Shuo Huang, Lizhen Qu, Xingliang Yuan et al.
FAME: Flexible, Scalable Analogy Mappings Engine
Shahar Jacob, Chen Shani, Dafna Shahaf
FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization
Nan Zhang, Yusen Zhang, Wu Guo et al.
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions
Hyunwoo Kim, Melanie Sclar, Xuhui Zhou et al.
Fast and Accurate Factual Inconsistency Detection Over Long Documents
Barrett Lattimer, Patrick H. Chen, Xinyuan Zhang et al.
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding
Sangmin Bae, Jongwoo Ko, Hwanjun Song et al.
Faster Minimum Bayes Risk Decoding with Confidence-based Pruning
Julius Cheng, Andreas Vlachos
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
Tianshi Che, Ji Liu, Yang Zhou et al.
Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification
Apoorva Singh, Siddarth Chandrasekar, Sriparna Saha et al.
FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models
Xinge Ma, Jiangming Liu, Jin Wang et al.
FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning
Jaemin Shin, Hyungjun Yoon, Seungjoo Lee et al.
Few-shot Unified Question Answering: Tuning Models or Prompts?
Srijan Bansal, Semih Yavuz, Bo Pang et al.
FFAEval: Evaluating Dialogue System via Free-For-All Ranking
Zeyao Ma, Zijun Yao, Jing Zhang et al.
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation
Wei-Lin Chen, Cheng-Kuang Wu, Hsin-Hsi Chen et al.
“Fifty Shades of Bias”: Normative Ratings of Gender Bias in GPT Generated English Text
Rishav Hada, Agrima Seth, Harshita Diddee et al.
Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation
Jason Lucas, Adaku Uchendu, Michiharu Yamashita et al.
Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask Questions
Ziyue Wang, Chi Chen, Peng Li et al.