Papers
CDB: A Unified Framework for Hope Speech Detection Through Counterfactual, Desire and Belief
Tulio Ferreira Leite Da Silva, Gonzalo Freijedo Aduna, Farah Benamara et al.
A Closer Look into Mixture-of-Experts in Large Language Models
Ka Man Lo, Zeyu Huang, Zihan Qiu et al.
Unified Automated Essay Scoring and Grammatical Error Correction
SeungWoo Song, Junghun Yuk, ChangSu Choi et al.
RetrieverGuard: Empowering Information Retrieval to Combat LLM-Generated Misinformation
Chuwen Chen, Shuai Zhang
Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization
Weiqi Wu, Shen Huang, Yong Jiang et al.
BitAbuse: A Dataset of Visually Perturbed Texts for Defending Phishing Attacks
Hanyong Lee, Chaelyn Lee, Yongjae Lee et al.
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe
Enhancing Text-to-SQL with Question Classification and Multi-Agent Collaboration
Zhihui Shao, Shubin Cai, Rongsheng Lin et al.
TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning
Xinyuan Lu, Liangming Pan, Yubo Ma et al.
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Sergey Pletenev, Maria Marina, Daniil Moskovskiy et al.
LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models
Yizheng Sun, Yanze Xin, Hao Li et al.
MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAG
Pingyu Wu, Daiheng Gao, Jing Tang et al.
QPruner: Probabilistic Decision Quantization for Structured Pruning in Large Language Models
Changhai Zhou, Yuhua Zhou, Yibin Wang et al.
GPT-NER: Named Entity Recognition via Large Language Models
Shuhe Wang, Xiaofei Sun, Xiaoya Li et al.
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs
Abdellah El Mekki, Muhammad Abdul-Mageed
FeRG-LLM : Feature Engineering by Reason Generation Large Language Models
Jeonghyun Ko, Gyeongyun Park, Donghoon Lee et al.
Exploring Hybrid Sampling Inference for Aspect-based Sentiment Analysis
Xiaoyi Bao, Minjie Qiang, Jinghang Gu et al.
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
Kyungmin Min, Minbeom Kim, Kang-il Lee et al.
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models
Haritz Puerto, Martin Gubri, Sangdoo Yun et al.
Sequence-level Large Language Model Training with Contrastive Preference Optimization
Zhili Feng, Dhananjay Ram, Cole Hawkins et al.
GRAG: Graph Retrieval-Augmented Generation
Yuntong Hu, Zhihan Lei, Zheng Zhang et al.
VLind-Bench: Measuring Language Priors in Large Vision-Language Models
Kang-il Lee, Minbeom Kim, Seunghyun Yoon et al.
MojoBench: Language Modeling and Benchmarks for Mojo
Nishat Raihan, Joanna C. S. Santos, Marcos Zampieri
Perception Compressor: A Training-Free Prompt Compression Framework in Long Context Scenarios
Jiwei Tang, Jin Xu, Tingwei Lu et al.
Attention on Multiword Expressions: A Multilingual Study of BERT-based Models with Regard to Idiomaticity and Microsyntax
Iuliia Zaitova, Vitalii Hirak, Badr M. Abdullah et al.