Papers
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
Hexiang Tan, Fei Sun, Wanli Yang et al.
BloomVQA: Assessing Hierarchical Multi-modal Comprehension
Yunye Gong, Robik Shrestha, Jared Claypoole et al.
Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots
Junling Wang, Jakub Macina, Nico Daheim et al.
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting
Jianing Wang, Qiushi Sun, Xiang Li et al.
Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling
Shenzhi Wang, Chang Liu, Zilong Zheng et al.
Boosting Textural NER with Synthetic Image and Instructive Alignment
Jiahao Wang, Wenjun Ke, Peng Wang et al.
Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection
Barah Fazili, Ashish Agrawal, Preethi Jyothi
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
Yubao Tang, Ruqing Zhang, Jiafeng Guo et al.
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk
Dennis Ulmer, Elman Mansimov, Kaixiang Lin et al.
Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective
Biaoyan Fang, Ritvik Dinesh, Xiang Dai et al.
BotEval: Facilitating Interactive Human Evaluation
Hyundong Cho, Thamme Gowda, Yuyang Huang et al.
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence
Weixiang Zhao, Zhuojun Li, Shilong Wang et al.
BrainStorm @ iREL at #SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets
Manav Chaudhary, Harshit Gupta, Vasudeva Varma
BranchNorm: Robustly Scaling Extremely Deep Transformers
Yijin Liu, Xianfeng Zeng, Fandong Meng et al.
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