SciDef: Datasets and Tools for Automated Definition Extraction from Scientific Literature with LLMs - 惯性聚合

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Toward Generalized Cross-Lingual Hateful Language Detection with Web-Scale Data and Ensemble LLM Annotations Self-Calibrating Language Models via Test-Time Discriminative Distillation HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering Spoiler Alert: Narrative Forecasting as a Metric for Tension in LLM Storytelling Human vs. Machine Deception: Distinguishing AI-Generated and Human-Written Fake News Using Ensemble Learning Weird Generalization is Weirdly Brittle Mirroring Minds: Asymmetric Linguistic Accommodation and Diagnostic Identity in ADHD and Autism Reddit Communities Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models Who Wrote This Line? Evaluating the Detection of LLM-Generated Classical Chinese Poetry Training-Free Cross-Lingual Dysarthria Severity Assessment via Phonological Subspace Analysis in Self-Supervised Speech Representations Simulating Organized Group Behavior: New Framework, Benchmark, and Analysis ODUTQA-MDC: A Task for Open-Domain Underspecified Tabular QA with Multi-turn Dialogue-based Clarification Nationality encoding in language model hidden states: Probing culturally differentiated representations in persona-conditioned academic text Relational Probing: LM-to-Graph Adaptation for Financial Prediction CodeComp: Structural KV Cache Compression for Agentic Coding FAITH: Factuality Alignment through Integrating Trustworthiness and Honestness Comparative Analysis of Large Language Models in Healthcare Adaptive Multi-Expert Reasoning via Difficulty-Aware Routing and Uncertainty-Guided Aggregation A Structured Clustering Approach for Inducing Media Narratives NameBERT: Scaling Name-Based Nationality Classification with LLM-Augmented Open Academic Data LASQ: A Low-resource Aspect-based Sentiment Quadruple Extraction Dataset BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection Turing or Cantor: That is the Question NOSE: Neural Olfactory-Semantic Embedding with Tri-Modal Orthogonal Contrastive Learning Instruction Data Selection via Answer Divergence EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning Dynamic Adaptive Attention and Supervised Contrastive Learning: A Novel Hybrid Framework for Text Sentiment Classification Structure-Grounded Knowledge Retrieval via Code Dependencies for Multi-Step Data Reasoning Knowing What to Stress: A Discourse-Conditioned Text-to-Speech Benchmark HeceTokenizer: A Syllable-Based Tokenization Approach for Turkish Retrieval BlasBench: An Open Benchmark for Irish Speech Recognition OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language Environment Simulation How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical Contexts Evaluating Memory Capability in Continuous Lifelog Scenario Polyglot Teachers: Evaluating Language Models for Multilingual Synthetic Data Generation Hidden Measurement Error in LLM Pipelines Distorts Annotation, Evaluation, and Benchmarking LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling ProGAL-VLA: Grounded Alignment through Prospective Reasoning in Vision-Language-Action Models Reproduction Beyond Benchmarks: ConstBERT and ColBERT-v2 Across Backends and Query Distributions Hijacking Text Heritage: Hiding the Human Signature through Homoglyphic Substitution SpectralLoRA: Is Low-Frequency Structure Sufficient for LoRA Adaptation? A Spectral Analysis of Weight Updates Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference What Factors Affect LLMs and RLLMs in Financial Question Answering? 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Instructing LLMs to Negotiate using Reinforcement Learning with Verifiable Rewards COMPOSITE-Stem GIANTS: Generative Insight Anticipation from Scientific Literature Regime-Conditional Retrieval: Theory and a Transferable Router for Two-Hop QA ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering Generating High Quality Synthetic Data for Dutch Medical Conversations Generative UI: LLMs are Effective UI Generators LETGAMES: An LLM-Powered Gamified Approach to Cognitive Training for Patients with Cognitive Impairment Seven simple steps for log analysis in AI systems H-AdminSim: A Multi-Agent Simulator for Realistic Hospital Administrative Workflows with FHIR Integration LABBench2: An Improved Benchmark for AI Systems Performing Biology Research Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval Reasoning Models Will Sometimes Lie About Their Reasoning Disco-RAG: Discourse-Aware Retrieval-Augmented Generation Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models Echoes of Automation: The Increasing Use of LLMs in Newsmaking

SciDef: Datasets and Tools for Automated Definition Extraction from Scientific Literature with LLMs

[Submitted on 5 Feb 2026 (v1), last revised 11 Jun 2026 (this ve · 2026-06-15 · via cs.CL updates on arXiv.org

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