{"product_id":"natural-language-processing-and-information-systems-9783031971402","title":"Natural Language Processing and Information Systems","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- \u003cstrong\u003eFull papers (Main Track)\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Multi-Scale Convolutional Fusion with Contrastive Feature Alignment for Imbalanced Data Classification.\u003c\/p\u003e\u003cp\u003e.- Memory Efficient LM Compression using Fisher Information from Low-Rank Representations.\u003c\/p\u003e\u003cp\u003e.- Accelerating End-to-End PDF to Markdown Conversion through Assisted Generation.\u003c\/p\u003e\u003cp\u003e.- Comparison of pipelines, seq2seq models, and LLMs for rare disease information extraction.\u003c\/p\u003e\u003cp\u003e.- Multiple Graphical Convolution Networks Approach for Aspect-Based Sentiment Classification.\u003c\/p\u003e\u003cp\u003e.- How important is domain-specific language model pretraining and instruction finetuning for biomedical relation extraction?.\u003c\/p\u003e\u003cp\u003e.- ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs.\u003c\/p\u003e\u003cp\u003e.- Explaining Bias in Internal Representations of Large Language Models via Concept Activation Vectors.\u003c\/p\u003e\u003cp\u003e.- Duplicate Bug Report Retrieval for New Bug Reports.\u003c\/p\u003e\u003cp\u003e.- Context Is The Key For LLM-Based Text Segmentation.\u003c\/p\u003e\u003cp\u003e.- MultiProSE: A Multi-label Arabic Dataset for Propaganda, Sentiment, and Emotion Detection.\u003c\/p\u003e\u003cp\u003e.- CLIP-Driven Deep Hashing for Cross-Modal Retrieval.\u003c\/p\u003e\u003cp\u003e.- WIP: Iterative Post-Training Pruning with Weighted Importance Estimation for Large Language Models.\u003c\/p\u003e\u003cp\u003e.- A Comparative Study on the Development of a Thai Legal QA Framework Using Large Language Models and Mixed Legal Datasets.\u003c\/p\u003e\u003cp\u003e.- Leveraging Generative AI for Chronic Kidney Disease Prediction: A Comparative Study of Open-Source LLMs.\u003c\/p\u003e\u003cp\u003e.- LADDER: Latent Attention and Decomposition for Deep Enhanced Retrieval in Medical Question-Answering Systems.\u003c\/p\u003e\u003cp\u003e.- Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning.\u003c\/p\u003e\u003cp\u003e.- CAFE: Context-aware Applicability-weighted Fairness Evaluation.\u003c\/p\u003e\u003cp\u003e.- A Survey of LoRA Algorithm Variations for Language Models.\u003c\/p\u003e\u003cp\u003e.- ViMRHP: A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative Annotation.\u003c\/p\u003e\u003cp\u003e.-Towards an Ontological Approach to Browser Fingerprinting Detection and Privacy Risk Assessment.\u003c\/p\u003e\u003cp\u003e.- Dual-Style Transcription of Historical Manuscripts based on Multimodal Small Language Models with Switchable Adapters.\u003c\/p\u003e\u003cp\u003e.- Semantic Reasoning for Device Identification in Dynamic Internet of Things Environments with Large Language Model.\u003c\/p\u003e\u003cp\u003e.- Instruction Tuning TextFlow Semi-Automatic RFCs Generation.\u003c\/p\u003e\u003cp\u003e.- News Timeline Summarization: Recent Methods.\u003c\/p\u003e\u003cp\u003e.- QA2HALL: A Framework for Generating Non-trivial Hallucination Detection Datasets from KGQA Datasets.\u003c\/p\u003e\u003cp\u003e.- Causal Relation-Aware Data Augmentation for Legal Textual Entailment.\u003c\/p\u003e\u003cp\u003e.- Improve Smart Contract Vulnerability Explanation with Synthetic Data and Chain-of-Thought Prompting.\u003c\/p\u003e\u003cp\u003e.- The benefits of query-based KGQA systems for complex and temporal questions in LLM era.\u003c\/p\u003e\u003cp\u003e.- TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for Documentaries.\u003c\/p\u003e\u003cp\u003e.- Multimodal Event Detection: Current Approaches and Defining the New Playground through LLMs and VLMs.\u003c\/p\u003e\u003cp\u003e.- ReSHQ: Re-ranking Based on the Similarity between Hypothetical Query and Query.\u003c\/p\u003e\u003cp\u003e.- Multi-hop Question Answering in SlideVQA Based on Beam Retrieval.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195499635031,"sku":"9783031971402","price":104.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/natural-language-processing-and-information-systems-9783031971402","provider":"Book Curl","version":"1.0","type":"link"}