Papers
Value Portrait: Assessing Language Models’ Values through Psychometrically and Ecologically Valid Items
Jongwook Han, Dongmin Choi, Woojung Song et al.
Value Residual Learning
Zhanchao Zhou, Tianyi Wu, Zhiyun Jiang et al.
Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts
Jingxuan Li, Yuning Yang, Shengqi Yang et al.
VAQUUM: Are Vague Quantifiers Grounded in Visual Data?
Hugh Mee Wong, Rick Nouwen, Albert Gatt
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs
Razvan-Gabriel Dumitru, Vikas Yadav, Rishabh Maheshwary et al.
Variety delights (sometimes) - Annotation differences in morphologically annotated corpora
Andrea Dömötör, Balázs Indig, Dávid Márk Nemeskey
VCD: A Dataset for Visual Commonsense Discovery in Images
Xiangqing Shen, Fanfan Wang, Siwei Wu et al.
Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
Zheheng Luo, Xin Zhang, Xiao Liu et al.
VenusFactory: An Integrated System for Protein Engineering with Data Retrieval and Language Model Fine-Tuning
Yang Tan, Chen Liu, Jingyuan Gao et al.
Veracity Bias and Beyond: Uncovering LLMs’ Hidden Beliefs in Problem-Solving Reasoning
Yue Zhou, Barbara Di Eugenio
VerbaNexAI at SemEval-2025 Task 11 Track A: A RoBERTa-Based Approach for the Classification of Emotions in Text
Danileth Almanza Gonzalez, Edwin Puertas, Juan Carlos Martinez-Santos
VerbaNexAI at SemEval-2025 Task 2: Enhancing Entity-Aware Translation with Wikidata-Enriched MarianMT
Daniel Peña Gnecco, Juan Carlos Martinez Santos, Edwin Puertas
VerbaNexAI at SemEval-2025 Task 3: Fact Retrieval with Google Snippets for LLM Context Filtering to identify Hallucinations
Anderson Morillo, Edwin Puertas, Juan Carlos Martinez Santos
VerbaNexAI at SemEval-2025 Task 9: Advances and Challenges in the Automatic Detection of Food Hazards
Andrea Menco Tovar, Edwin Puertas, Juan Carlos Martinez-Santos
Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning
Joonwon Jang, Jaehee Kim, Wonbin Kweon et al.
VeReaFine: Iterative Verification Reasoning Refinement RAG for Hallucination-Resistant on Open-Ended Clinical QA
Pakawat Phasook, Rapepong Pitijaroonpong, Jiramet Kinchagawat et al.
Verifying the Steps of Deductive Reasoning Chains
Zacchary Sadeddine, Fabian M. Suchanek
Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics
Ameya Godbole, Robin Jia
VeriMinder: Mitigating Analytical Vulnerabilities in NL2SQL
Shubham Mohole, Sainyam Galhotra
VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos
Tingyu Song, Tongyan Hu, Guo Gan et al.
VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation
Xinlong Chen, Yuanxing Zhang, Chongling Rao et al.
VideoRAG: Retrieval-Augmented Generation over Video Corpus
Soyeong Jeong, Kangsan Kim, Jinheon Baek et al.
VideoVista-CulturalLingo: 360° Horizons-Bridging Cultures, Languages, and Domains in Video Comprehension
Xinyu Chen, Yunxin Li, Haoyuan Shi et al.
ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding
Austin Wang, ZeMing Gong, Angel X Chang
Virtual CRISPR: Can LLMs Predict CRISPR Screen Results?
Steven Song, Abdalla Abdrabou, Asmita Dabholkar et al.