Description
Book Synopsis.- Full papers (Main Track).
.- Multi-Scale Convolutional Fusion with Contrastive Feature Alignment for Imbalanced Data Classification.
.- Memory Efficient LM Compression using Fisher Information from Low-Rank Representations.
.- Accelerating End-to-End PDF to Markdown Conversion through Assisted Generation.
.- Comparison of pipelines, seq2seq models, and LLMs for rare disease information extraction.
.- Multiple Graphical Convolution Networks Approach for Aspect-Based Sentiment Classification.
.- How important is domain-specific language model pretraining and instruction finetuning for biomedical relation extraction?.
.- ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs.
.- Explaining Bias in Internal Representations of Large Language Models via Concept Activation Vectors.
.- Duplicate Bug Report Retrieval for New Bug Reports.
.- Context Is The Key For LLM-Based Text Segmentation.
.- MultiProSE: A Multi-label Arabic Dataset for Propaganda, Sentiment, and Emotion Detection.
.- CLIP-Driven Deep Hashing for Cross-Modal Retrieval.
.- WIP: Iterative Post-Training Pruning with Weighted Importance Estimation for Large Language Models.
.- A Comparative Study on the Development of a Thai Legal QA Framework Using Large Language Models and Mixed Legal Datasets.
.- Leveraging Generative AI for Chronic Kidney Disease Prediction: A Comparative Study of Open-Source LLMs.
.- LADDER: Latent Attention and Decomposition for Deep Enhanced Retrieval in Medical Question-Answering Systems.
.- Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning.
.- CAFE: Context-aware Applicability-weighted Fairness Evaluation.
.- A Survey of LoRA Algorithm Variations for Language Models.
.- ViMRHP: A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative Annotation.
.-Towards an Ontological Approach to Browser Fingerprinting Detection and Privacy Risk Assessment.
.- Dual-Style Transcription of Historical Manuscripts based on Multimodal Small Language Models with Switchable Adapters.
.- Semantic Reasoning for Device Identification in Dynamic Internet of Things Environments with Large Language Model.
.- Instruction Tuning TextFlow Semi-Automatic RFCs Generation.
.- News Timeline Summarization: Recent Methods.
.- QA2HALL: A Framework for Generating Non-trivial Hallucination Detection Datasets from KGQA Datasets.
.- Causal Relation-Aware Data Augmentation for Legal Textual Entailment.
.- Improve Smart Contract Vulnerability Explanation with Synthetic Data and Chain-of-Thought Prompting.
.- The benefits of query-based KGQA systems for complex and temporal questions in LLM era.
.- TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for Documentaries.
.- Multimodal Event Detection: Current Approaches and Defining the New Playground through LLMs and VLMs.
.- ReSHQ: Re-ranking Based on the Similarity between Hypothetical Query and Query.
.- Multi-hop Question Answering in SlideVQA Based on Beam Retrieval.
