Papers
Bridging Distribution Gap via Semantic Rewriting with LLMs to Enhance OOD Robustness
Manas Madine, Rohan Pandey, Vara Prasad Gudi et al.
Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length
Nur Lan, Emmanuel Chemla, Roni Katzir
Bridging the Gap: Transfer Learning from English PLMs to Malaysian English
MohanRaj Chanthran, Lay-Ki Soon, Huey Fang Ong et al.
Bridging the Preference Gap between Retrievers and LLMs
Zixuan Ke, Weize Kong, Cheng Li et al.
Bridging Word-Pair and Token-Level Metaphor Detection with Explainable Domain Mining
Yuan Tian, Ruike Zhang, Nan Xu et al.
Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion
Ziyue Wang, Chi Chen, Yiqi Zhu et al.
BSC-LANGTECH at FIGNEWS 2024 Shared Task: Exploring Semi-Automatic Bias Annotation using Frame Analysis
Valle Ruiz-Fernández, José Saiz, Aitor Gonzalez-Agirre
Budget-Constrained Tool Learning with Planning
Yuanhang Zheng, Peng Li, Ming Yan et al.
Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German
Manuel Lardelli, Giuseppe Attanasio, Anne Lauscher
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction
Yinhao Bai, Yalan Xie, Xiaoyi Liu et al.
Bypassing LLM Watermarks with Color-Aware Substitutions
Qilong Wu, Varun Chandrasekaran
Cache & Distil: Optimising API Calls to Large Language Models
Guillem Ramírez, Matthias Lindemann, Alexandra Birch et al.
CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection
Sirry Chen, Shuo Feng, Liang Songsong et al.
Calibrating Large Language Models Using Their Generations Only
Dennis Ulmer, Martin Gubri, Hwaran Lee et al.
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
Sitao Cheng, Ziyuan Zhuang, Yong Xu et al.
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation
I-Hung Hsu, Zifeng Wang, Long Le et al.
CaMML: Context-Aware Multimodal Learner for Large Models
Yixin Chen, Shuai Zhang, Boran Han et al.
Can ChatGPT’s Performance be Improved on Verb Metaphor Detection Tasks? Bootstrapping and Combining Tacit Knowledge
Cheng Yang, Puli Chen, Qingbao Huang
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning
Weiqi Wang, Tianqing Fang, Chunyang Li et al.
Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension
Shubham Vatsal, Ayush Singh
Can Language Models Serve as Text-Based World Simulators?
Ruoyao Wang, Graham Todd, Ziang Xiao et al.
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation
Dongjin Kang, Sunghwan Kim, Taeyoon Kwon et al.
Can Large Language Models Interpret Noun-Noun Compounds? A Linguistically-Motivated Study on Lexicalized and Novel Compounds
Giulia Rambelli, Emmanuele Chersoni, Claudia Collacciani et al.
Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model
Zhiwei Li, Ran Song, Caihong Sun et al.