Papers
Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification
Ang Li, Yiquan Wu, Ming Cai et al.
Wav2Prompt: End-to-End Speech Prompt Learning and Task-based Fine-tuning for Text-based LLMs
Keqi Deng, Guangzhi Sun, Phil Woodland
Knowledge Graph Guided Evaluation of Abstention Techniques
Kinshuk Vasisht, Navreet Kaur, Danish Pruthi
DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students’ Hand-Drawn Math Images
Sami Baral, Li Lucy, Ryan Knight et al.
Self-Pluralising Culture Alignment for Large Language Models
Shaoyang Xu, Yongqi Leng, Linhao Yu et al.
Evaluating and Mitigating Object Hallucination in Large Vision-Language Models: Can They Still See Removed Objects?
Yixiao He, Haifeng Sun, Pengfei Ren et al.
LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation
Sachit Kuhar, Wasi Uddin Ahmad, Zijian Wang et al.
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
Mohan Zhang, Pingzhi Li, Jie Peng et al.
From Distributional to Overton Pluralism: Investigating Large Language Model Alignment
Thom Lake, Eunsol Choi, Greg Durrett
CodeSCM: Causal Analysis for Multi-Modal Code Generation
Mukur Gupta, Noopur Bhatt, Suman Jana
Identifying Emerging Concepts in Large Corpora
Sibo Ma, Julian Nyarko
Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning
Zixiao Zhu, Zijian Feng, Hanzhang Zhou et al.
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan et al.
Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation
Cong-Duy T Nguyen, Xiaobao Wu, Thong Thanh Nguyen et al.
Active Few-Shot Learning for Text Classification
Saeed Ahmadnia, Arash Yousefi Jordehi, Mahsa Hosseini Khasheh Heyran et al.
LegalViz: Legal Text Visualization by Text To Diagram Generation
Eri Onami, Taiki Miyanishi, Koki Maeda et al.
Pula: Training Large Language Models for Setswana
Nathan Brown, Vukosi Marivate
Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models
Zijian Li, Qingyan Guo, Jiawei Shao et al.
Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models
Ziche Liu, Rui Ke, Yajiao Liu et al.
JRE-L: Journalist, Reader, and Editor LLMs in the Loop for Science Journalism for the General Audience
Gongyao Jiang, Xinran Shi, Qiong Luo
tRAG: Term-level Retrieval-Augmented Generation for Domain-Adaptive Retrieval
Dohyeon Lee, Jongyoon Kim, Jihyuk Kim et al.
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence
Minbeom Kim, Hwanhee Lee, Joonsuk Park et al.
TRANSIENTTABLES: Evaluating LLMs’ Reasoning on Temporally Evolving Semi-structured Tables
Abhilash Shankarampeta, Harsh Mahajan, Tushar Kataria et al.
Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions
Hongru Wang, Boyang Xue, Baohang Zhou et al.