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Large Language Models

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Papers

Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods EMNLP 2025
Tree of Agents: Improving Long-Context Capabilities of Large Language Models through Multi-Perspective Reasoning EMNLP 2025
PrAd: Prompt Adaptive Tuning for Decoder-only Language Models EMNLP 2025
Personalized Question Answering with User Profile Generation and Compression EMNLP 2025
LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation EMNLP 2025
Watermark Smoothing Attacks against Language Models EMNLP 2025
Krikri: Advancing Open Large Language Models for Greek EMNLP 2025
X-Boundary: Establishing Exact Safety Boundary to Shield LLMs from Jailbreak Attacks without Compromising Usability EMNLP 2025
Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack EMNLP 2025
Revealing the Inherent Instructability of Pre-Trained Language Models EMNLP 2025
ReGraphRAG: Reorganizing Fragmented Knowledge Graphs for Multi-Perspective Retrieval-Augmented Generation EMNLP 2025
Why We Feel What We Feel: Joint Detection of Emotions and Their Opinion Triggers in E-commerce EMNLP 2025
BanglaByT5: Byte-Level Modelling for Bangla EMNLP 2025
Long-context Language Models Fail in Basic Retrieval Tasks Without Sufficient Reasoning Steps EMNLP 2025
Retrieval-Augmented Machine Translation with Unstructured Knowledge EMNLP 2025
UTMath: A Benchmark for Math Evaluation with Unit Test EMNLP 2025
Retrieval-Augmented Generation with Hierarchical Knowledge EMNLP 2025
Drift: Decoding-time Personalized Alignments with Implicit User Preferences EMNLP 2025
KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering EMNLP 2025
OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration EMNLP 2025
When Inverse Data Outperforms: Exploring the Pitfalls of Mixed Data in Multi-Stage Fine-Tuning EMNLP 2025
A Knapsack by Any Other Name: Presentation impacts LLM performance on NP-hard problems EMNLP 2025
Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models EMNLP 2025
A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare EMNLP 2025
Self-Correction Makes LLMs Better Parsers EMNLP 2025