---
title: "Who cites Shijian Lu — 302 papers of our library"
description: "302 papers of the Elamur Research library cite the works of Shijian Lu, found in their bibliographies; the most cited first."
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---
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# Who cites Shijian Lu

304 citations of their works from 302 papers of our library (of the 149,439 whose bibliographies we read) · 72 with a page here, the most cited first · [← Shijian Lu](https://md.research.elamur.ai/free/en/authors/shijian-lu/)

1. **[A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions](https://md.research.elamur.ai/free/en/papers/huang-2023-survey-hallucination-large-language-models/) [ACM Transactions on Information Systems](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/)**Lei Huang, Weijiang Yu, Weitao Ma, et al.*2023 · 3,231 citations*
2. **[Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset](https://md.research.elamur.ai/free/en/papers/wang-2024-measuring-multimodal-mathematical-reasoning-math/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Ke Wang, Junting Pan, Weikang Shi, et al.*2024 · 203 citations*
3. [**Hallucination of Multimodal Large Language Models: A Survey arXiv:2404.18930**Zechen Bai, Pichao Wang, Tianjun Xiao, et al.*2024 · 120 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-hallucination-multimodal-large-language-models/)
4. [**A Survey on Hallucination in Large Vision-Language Models arXiv:2402.00253**Hanchao Liu, Wenyuan Xue, Yifei Chen, et al.*2024 · 113 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-survey-hallucination-large-vision-language/)
5. [**Tuning Language Models by Proxy arXiv:2401.08565**Alisa Liu, Xiaochuang Han, Yizhong Wang, et al.*2024 · 79 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-tuning-language-models-proxy/)
6. **[Factuality of Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2024-factuality-large-language-models-survey/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, et al.*2024 · 77 citations*
7. **[mDPO: Conditional Preference Optimization for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-mdpo-conditional-preference-optimization-multimodal/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fei Wang, Wenxuan Zhou, James Y. Huang, et al.*2024 · 50 citations*
8. [**Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning arXiv:2512.20848**NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant, et al.*2025 · 27 citations*](https://md.research.elamur.ai/free/en/papers/blakeman-2025-nemotron-3-nano-open-efficient/)
9. **[Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence](https://md.research.elamur.ai/free/en/papers/he-2025-cracking-code-hallucination-lvlms-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinghan He, Kuan Zhu, Haiyun Guo, et al.*2025 · 21 citations*
10. **[Jailbreak Large Vision-Language Models Through Multi-Modal Linkage](https://md.research.elamur.ai/free/en/papers/wang-2025-jailbreak-large-vision-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Wang, Xiaofei Zhou, Yichen Wang, et al.*2025 · 20 citations*
11. **[Qalam: A Multimodal LLM for Arabic Optical Character and Handwriting Recognition](https://md.research.elamur.ai/free/en/papers/bhatia-2024-qalam-multimodal-llm-arabic-optical/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Gagan Bhatia, El Moatez Billah Nagoudi, Fakhraddin Alwajih, et al.*2024 · 20 citations*
12. [**Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation arXiv:2603.19220**Zhuolin Yang, Zihan Liu, Yang Chen, et al.*2026 · 16 citations*](https://md.research.elamur.ai/free/en/papers/yang-2026-nemotron-cascade-2-post-training/)
13. **[When One LLM Drools, Multi-LLM Collaboration Rules](https://md.research.elamur.ai/free/en/papers/feng-2026-when-one-llm-drools-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shangbin Feng, Wenxuan Ding, Alisa Liu, et al.*2026 · 14 citations*
14. **[Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs](https://md.research.elamur.ai/free/en/papers/zhang-2025-shallow-focus-deep-fixes-enhancing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.*2025 · 14 citations*
15. **[Activation Steering Decoding: Mitigating Hallucination in Large Vision-Language Models through Bidirectional Hidden State Intervention](https://md.research.elamur.ai/free/en/papers/su-2025-activation-steering-decoding-mitigating-hallucination/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingran Su, Jingfan Chen, Hongxin Li, et al.*2025 · 12 citations*
16. **[MultiLoKo: a multilingual local knowledge benchmark for LLMs spanning 31 languages](https://md.research.elamur.ai/free/en/papers/hupkes-2025-multiloko-multilingual-local-knowledge-benchmark/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Dieuwke Hupkes, Nikolay Bogoychev*2025 · 12 citations*
17. [**100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models arXiv:2505.00551**Chong Zhang, Yue Deng, Xiang Lin, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-100-days-after-deepseek/)
18. **[G2: Guided Generation for Enhanced Output Diversity in LLMs](https://md.research.elamur.ai/free/en/papers/ruan-2025-g2-guided-generation-enhanced-output/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhiwen Ruan, Yixia Li, Yefeng Liu, et al.*2025 · 6 citations*
19. **[Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/liu-2025-insight-over-sight-exploring-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, et al.*2025 · 6 citations*
20. **[Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMs](https://md.research.elamur.ai/free/en/papers/lyu-2026-revealing-enhancing-core-visual-regions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guangtao Lyu, Qi Liu, Chenghao Xu, et al.*2026 · 5 citations*
21. **[RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human Feedback](https://md.research.elamur.ai/free/en/papers/chen-2025-rrhf-v-ranking-responses-mitigate/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Guoqing Chen, Fu Zhang, Jinghao Lin, et al.*2025 · 5 citations*
22. **[GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs](https://md.research.elamur.ai/free/en/papers/nguyen-2026-grains-gradient-based-attribution-inference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, et al.*2026 · 4 citations*
23. **[Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding](https://md.research.elamur.ai/free/en/papers/mao-2026-through-magnifying-glass-adaptive-perception/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shunqi Mao, Chaoyi Zhang, Weidong Cai*2026 · 4 citations*
24. **[FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/shu-2026-finchart-bench-benchmarking-financial-chart/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dong Shu, Haoyang Yuan, Yuchen Wang, et al.*2026 · 3 citations*
25. **[VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck](https://md.research.elamur.ai/free/en/papers/zhang-2026-vib-probe-detecting-mitigating-hallucinations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Feiran Zhang, Yixin Wu, Zhenghua Wang, et al.*2026 · 3 citations*
26. **[CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2026-ccd-mitigating-hallucinations-radiology-mllms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xi Zhang, Zaiqiao Meng, Jake Lever, et al.*2026 · 2 citations*
27. **[POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering](https://md.research.elamur.ai/free/en/papers/xu-2026-polychartqa-benchmarking-large-vision-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yichen Xu, Liangyu Chen, Liang Zhang, et al.*2026 · 2 citations*
28. [**Benchmarking Vision Language Models on German Factual Data arXiv:2504.11108**Rene Peinl, Vincent Tischler*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/peinl-2025-benchmarking-vision-language-models-german/)
29. [**Multimodal Arabic Captioning with Interpretable Visual Concept Integration arXiv:2510.03295**Passant Elchafei, Amany Fashwan*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/elchafei-2025-multimodal-arabic-captioning-interpretable-visual/)
30. **[VLCAP at ImageEval 2025 Shared Task: Multimodal Arabic Captioning with Interpretable Visual Concept Integration](https://md.research.elamur.ai/free/en/papers/elchafei-2025-vlcap-imageeval-2025-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Passant Elchafei, Amany Fashwan*2025 · 2 citations*
31. **[AMALIA: A Fully Open Large Language Model for European Portuguese](https://md.research.elamur.ai/free/en/papers/simplicio-2026-amalia-fully-open-large-language/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Afonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.*2026 · 1 citation*
32. **[ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/yin-2026-arise-adaptive-resolution-aware-metric/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, et al.*2026 · 1 citation*
33. **[From Understanding to Engagement: Personalized pharmacy Video Clips via Vision Language Models (VLMs)](https://md.research.elamur.ai/free/en/papers/mishra-2026-understanding-engagement-personalized-pharmacy-video/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Suyash Mishra, Qiang Li, Anubhav Girdhar, et al.*2026 · 1 citation*
34. **[Serbian SuperGLUE: Towards an Evaluation Benchmark for South Slavic Language Models](https://md.research.elamur.ai/free/en/papers/perovic-2026-serbian-superglue-evaluation-benchmark-south/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Mitar Perovic, Teodora Mihajlov*2026 · 1 citation*
35. **[SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/lv-2026-spd-faith-bench-diagnosing-improving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weijiang Lv, Yaoxuan Feng, Xiaobo Xia, et al.*2026 · 1 citation*
36. **[Specializing Large Models for Oracle Bone Script Interpretation via Component-Grounded Multimodal Knowledge Augmentation](https://md.research.elamur.ai/free/en/papers/zhang-2026-specializing-large-models-oracle-bone/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianing Zhang, Runan Li, Honglin Pang, et al.*2026 · 1 citation*
37. **[Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering](https://md.research.elamur.ai/free/en/papers/liu-2026-vision-language-introspection-mitigating-overconfident/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuliang Liu, Songbo Yang, Dong Fang, et al.*2026 · 1 citation*
38. **[Visually-Guided Policy Optimization for Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-visually-guided-policy-optimization-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zengbin Wang, Feng Xiong, Liang Lin, et al.*2026 · 1 citation*
39. **[When Vision-Language Models Judge Without Seeing: Exposing Informativeness Bias](https://md.research.elamur.ai/free/en/papers/zou-2026-when-vision-language-models-judge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, et al.*2026 · 1 citation*
40. **[A Comparative Study of Multilingual Fine-tuning and Prompting for Automatic Text Readability Classification in Galician](https://md.research.elamur.ai/free/en/papers/rey-2026-comparative-study-multilingual-fine-tuning/) [Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC](https://md.research.elamur.ai/free/en/venues/readi/)**Sandra Rodríguez Rey, Marcos Garcia*2026*
41. **[Annotation-Efficient Vision-Language Model Adaptation to the Polish Language Using the LLaVA Framework](https://md.research.elamur.ai/free/en/papers/statkiewicz-2026-annotation-efficient-vision-language-model/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Grzegorz Statkiewicz, Alicja Dobrzeniecka, Karolina Seweryn, et al.*2026*
42. **[Attribution-Guided Multi-Object Hallucination and Bias Detection in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/samyoun-2026-attribution-guided-multi-object-hallucination/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sirat Samyoun, Yingtai Xiao, Jian Du*2026*
43. **[Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-examples-automated-thought-level/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinyang Wu, Mingkuan Feng, Shuai Zhang, et al.*2026*
44. **[Breaking Down and Building Up: Mixture of Skill-Based Vision-and-Language Navigation Agents](https://md.research.elamur.ai/free/en/papers/ma-2026-breaking-down-building-up-mixture/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyi Ma, Yue Zhang, Zehao Wang, et al.*2026*
45. **[Charting the European LLM Benchmarking Landscape: A New Taxonomy and Registry](https://md.research.elamur.ai/free/en/papers/vintar-2026-charting-european-llm-benchmarking-landscape/) [Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LREC](https://md.research.elamur.ai/free/en/venues/llms4ssh/)**Spela Vintar, Mojca Brglez, Taja Kuzman Pungeršek, et al.*2026*
46. **[DANCE: Diversity-attended Dynamic Caching with Asymmetric Quantization for Test-time Adaptation of Vision-Language Models](https://md.research.elamur.ai/free/en/papers/zou-2026-dance-diversity-attended-dynamic-caching/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shunge Zou, Changhu Wang, Wei Ju, et al.*2026*
47. **[DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-dica-dual-indicator-guided-contrastive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Yang, Jin Wang, Xuejie Zhang*2026*
48. **[E-ViC: Reasoning Beyond Text via Embodied Visual Chain for Spatial Intelligence](https://md.research.elamur.ai/free/en/papers/qi-2026-e-vic-reasoning-beyond-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junbo Qi, Yi Zhang, Hanchu Ni, et al.*2026*
49. **[Evaluating Multimodal Large Language Model Narrative Interpretation through the Lens of Appraisal Theory](https://md.research.elamur.ai/free/en/papers/teotia-2026-evaluating-multimodal-large-language-model/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jayant Teotia, Xiaowei Wang, Xulang Zhang, et al.*2026*
50. **[Expert Calibration Lens for Pruning Mixture of Experts](https://md.research.elamur.ai/free/en/papers/salim-2026-expert-calibration-lens-pruning-mixture/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luis Frentzen Salim, Chia-Chun Wu, Tran Van Nhiem, et al.*2026*
51. **[From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual Segmentation](https://md.research.elamur.ai/free/en/papers/wang-2026-words-pixels-comprehensive-survey-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yizhou Wang, Mang Tik Chiu, Lingzhi Zhang, et al.*2026*
52. **[Generation of Instruction and Preference Dataset for Improving Japanese Instruction Following in LLMs](https://md.research.elamur.ai/free/en/papers/moriyama-2026-generation-instruction-preference-dataset-improving/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kei Moriyama, Takashi Kodama, Kouta Nakayama*2026*
53. **[How to Improve LLMs' Performance on Specific Languages: A Perspective on LLM-Derived Language Similarity](https://md.research.elamur.ai/free/en/papers/shi-2026-how-improve-llms-performance-specific/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinhe Shi, Qingcheng Zeng, Weihao Xuan, et al.*2026*
54. **[I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System](https://md.research.elamur.ai/free/en/papers/pang-2026-i-understand-how-you-feel/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Zi Haur Pang, Yahui Fu, Koji Inoue, et al.*2026*
55. **[Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus](https://md.research.elamur.ai/free/en/papers/mannion-2026-is-biomedical-specialization-still-worth/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aidan Mannion, Cécile Macaire, Armand Violle, et al.*2026*
56. **[Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-knowledge-poisoning-attacks-medical-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peiru Yang, Haoran Zheng, Tong Ju, et al.*2026*
57. **[Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/luo-2026-latent-attention-denoising-training-free/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiwen Luo, Siyu Jiang, Weilong Jiang, et al.*2026*
58. **[Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework](https://md.research.elamur.ai/free/en/papers/zhang-2026-less-languages-less-tokens-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenyuan Zhang, Qiguang Chen, Xie Chen, et al.*2026*
59. **[LLMs as annotators of credibility assessment in Danish asylum decisions: evaluating classification performance and errors beyond aggregated metrics](https://md.research.elamur.ai/free/en/papers/renaux-2026-llms-as-annotators-credibility-assessment/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Galadrielle Humblot-Renaux, Mohammad N. S. Jahromi, Rohat Bakuri-Jørgensen, et al.*2026*
60. **[MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description Scenarios](https://md.research.elamur.ai/free/en/papers/yan-2026-masa-novel-multimodal-foundation-model/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Bi-Cheng Yan, Fu-An Chao, Hong-Yun H.Y. Lin, et al.*2026*
61. **[Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement](https://md.research.elamur.ai/free/en/papers/qin-2026-mitigating-action-relation-hallucinations-lvlms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhenxin Qin, Qiang Li, Qingzhuo Wang, et al.*2026*
62. **[Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation](https://md.research.elamur.ai/free/en/papers/zhu-2026-mitigating-hallucinations-large-vision-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingyu Zhu, Junfeng Fang, Shuo Wang, et al.*2026*
63. **[Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise Perturbation](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-hallucinations-vlms-enhancing-visual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenghua Wang, Yixin Wu, Feiran Zhang, et al.*2026*
64. **[mmPISA-bench: Do LLMs Reason Equally Well Across 43 Languages?](https://md.research.elamur.ai/free/en/papers/sapenov-2026-mmpisa-bench-do-llms-reason/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Yerzhan Sapenov, Jaromir Savelka*2026*
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