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Large Language Models

2678 directly classified papers

Papers per year

Papers

Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications ACL 2025
GraphRAG: Leveraging Graph-Based Efficiency to Minimize Hallucinations in LLM-Driven RAG for Finance Data COLING 2025
Refining Noisy Knowledge Graph with Large Language Models COLING 2025
Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic Corpus: A Case Study for Hindi LLMs COLING 2025
Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation ACL 2025
Decoding Semantic Representations in the Brain Under Language Stimuli with Large Language Models COLING 2025
LLM-Based Explicit Models of Opponents for Multi-Agent Games NAACL 2025
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts NAACL 2025
Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction ACL 2025
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models NAACL 2025
CodeRAG-Bench: Can Retrieval Augment Code Generation? NAACL 2025
MojoBench: Language Modeling and Benchmarks for Mojo NAACL 2025
Task Calibration: Calibrating Large Language Models on Inference Tasks ACL 2025
A Closer Look into Mixture-of-Experts in Large Language Models NAACL 2025
Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge NAACL 2025
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models NAACL 2025
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models ACL 2025
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty NAACL 2025
CAPE: A Chinese Dataset for Appraisal-based Emotional Generation in Large Language Models NAACL 2025
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models NAACL 2025
A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models ACL 2025
Flaming-hot Initiation with Regular Execution Sampling for Large Language Models NAACL 2025
MedThink: A Rationale-Guided Framework for Explaining Medical Visual Question Answering NAACL 2025
A Practical Analysis of Human Alignment with *PO NAACL 2025
Name of Thrones: How Do LLMs Rank Student Names in Status Hierarchies Based on Race and Gender? ACL 2025