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conftrace_

large language model

14,686 papers

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Also known as

LLM LLMS

Co-occurring keywords · papers mentioning both

in-context learning (789) question answering (737) zero-shot learning (717) benchmark evaluation (705) prompt engineering (705) retrieval-augmented generation (672) text generation (668) multimodal learning (651) text classification (646) few-shot learning (636)

Papers

CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025 CycleResearcher: Improving Automated Research via Automated Review ICLR 2025 CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era ACL 2025 CYUT at SemEval-2025 Task 6: Prompting with Precision – ESG Analysis via Structured Prompts SemEval 2025 D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning IJCAI 2025 DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models AAAI 2025 DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression ACL 2025 DAC: Decomposed Automation Correction for Text-to-SQL EMNLP 2025 DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations EMNLP 2025 DaCoM: Strategies to Construct Domain-specific Low-resource Language Machine Translation Dataset COLING 2025 DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization EMNLP 2025 daDPO: Distribution-Aware DPO for Distilling Conversational Abilities ACL 2025 Dagger Behind Smile: Fool LLMs with a Happy Ending Story EMNLP 2025 DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models ICML 2025 DaKultur: Evaluating the Cultural Awareness of Language Models for Danish with Native Speakers NAACL 2025 DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration ACL 2025 DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression EMNLP 2025 DAMON: A Dialogue-Aware MCTS Framework for Jailbreaking Large Language Models EMNLP 2025 DA-Pred: Performance Prediction for Text Summarization under Domain-Shift and Instruct-Tuning EMNLP 2025 DAST: Context-Aware Compression in LLMs via Dynamic Allocation of Soft Tokens ACL 2025 DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models EMNLP 2025 Data and Model Centric Approaches for Expansion of Large Language Models to New languages EMNLP 2025 Data-Constrained Synthesis of Training Data for De-Identification ACL 2025 DataDecide: How to Predict Best Pretraining Data with Small Experiments ICML 2025 Data-Efficient 3D Visual Grounding via Order-Aware Referring WACV 2025