MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems
Comments NAACL 2025, 19 pages, 10 figures
期刊&会议
NAACL
North American Chapter of the Association for Computational Linguistics · 会议 · Natural Language Processing
LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education
Comments 49 Pages, 55 Figures, NAACL Findings 2025
Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models
Comments Accepted by NAACL 2025 (Findings). (Long Paper)
MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback
Comments Equal contribution for the first two authors. To appear in proceedings of the Main Conference on 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL). Keywords: Question Generation, USMLE, Self-Refine, Self-Critique, and Self-Correction, LLM-as-Judge, AI for Medical Education
SLM-Mod: Small Language Models Surpass LLMs at Content Moderation
Comments NAACL 2025 (Main): 17 pages, 8 figures, 10 tables
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples
Comments To appear at NAACL 2025
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation
Comments Accepted to NAACL 2025 Findings. 16 pages, 10 tables, 3 figures
Perception Compressor: A Training-Free Prompt Compression Framework in Long Context Scenarios
Comments Accepted at NAACL 2025 Findings
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
Comments Please cite as: Can Unconfident LLM Annotations Be Used for Confident Conclusions? Kristina Gligorić, Tijana Zrnic, Cinoo Lee, Emmanuel Candès, and Dan Jurafsky. NAACL, 2025
AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
Comments Accepted by NAACL 2025 as main conference paper, https://github.com/tsinghua-fib-lab/AgentMove
Towards Inducing Long-Context Abilities in Multilingual Neural Machine Translation Models
Comments Accepted at NAACL 2025
People will agree what I think: Investigating LLM's False Consensus Effect
Comments NAACL 2025 Findings
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
Comments Accepted to the main conference at NAACL 2025
What We Talk About When We Talk About LMs: Implicit Paradigm Shifts and the Ship of Language Models
Comments NAACL 2025
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models
Comments NAACL 2025 Findings
Cascading Large Language Models for Salient Event Graph Generation
Comments NAACL 2025 Camera-ready (9 + 14 pages)
CAVE: Controllable Authorship Verification Explanations
Comments Accepted at NAACL 2025
On the Impacts of Contexts on Repository-Level Code Generation
Comments Accepted to NAACL 2025
VLind-Bench: Measuring Language Priors in Large Vision-Language Models
Comments NAACL 2025 Findings
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation
Comments NAACL 2025 (main conference)
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
Comments NAACL 2025 Findings
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
Comments NAACL 2025 Findings
Has this Fact been Edited? Detecting Knowledge Edits in Language Models
Comments Accepted at NAACL Main 2025
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
Comments NAACL 2025
Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering
Comments NAACL 2025; The first two authors contributed equally
LLMs as Meta-Reviewers' Assistants: A Case Study
Comments Accepted to NAACL 2025, 41 pages
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration
Comments NAACL'25
Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination
Comments Accepted to Findings of NAACL 2025
ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots
Comments Accepted to NAACL 2025 Main Conference
Prepending or Cross-Attention for Speech-to-Text? An Empirical Comparison
Comments Accepted at NAACL 2025
