MMSciBench: Benchmarking Language Models on Chinese Multimodal Scientific Problems
Fuente:
arXiv
Saved in:
| Main Authors: | Ye, Xinwu, Li, Chengfan, Chen, Siming, Wei, Wei, Tang, Xiangru |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Merge-Bench: Resolve Merge Conflicts with Large Language Models
by: Schesch, Benedikt, et al.
Published: (2026)
by: Schesch, Benedikt, et al.
Published: (2026)
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
by: Luo, Yuqi, et al.
Published: (2024)
by: Luo, Yuqi, et al.
Published: (2024)
Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)
by: Oketunji, Abiodun Finbarrs
Published: (2023)
Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)
Engineering A Large Language Model From Scratch
by: Oketunji, Abiodun Finbarrs
Published: (2024)
by: Oketunji, Abiodun Finbarrs
Published: (2024)
Ensemble Language Models for Multilingual Sentiment Analysis
by: Hasan, Md Arid
Published: (2024)
by: Hasan, Md Arid
Published: (2024)
RBCorr: Response Bias Correction in Language Models
by: Bhatt, Om, et al.
Published: (2026)
by: Bhatt, Om, et al.
Published: (2026)
Compact Example-Based Explanations for Language Models
by: Schoenegger, Loris, et al.
Published: (2026)
by: Schoenegger, Loris, et al.
Published: (2026)
On the Effect of (Near) Duplicate Subwords in Language Modelling
by: Schäfer, Anton, et al.
Published: (2024)
by: Schäfer, Anton, et al.
Published: (2024)
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)
by: Fadli, Samih
Published: (2025)
PersonalLLM: Tailoring LLMs to Individual Preferences
by: Zollo, Thomas P., et al.
Published: (2024)
by: Zollo, Thomas P., et al.
Published: (2024)
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
by: Lyu, Bohan, et al.
Published: (2024)
by: Lyu, Bohan, et al.
Published: (2024)
The Open Source Advantage in Large Language Models (LLMs)
by: Manchanda, Jiya, et al.
Published: (2024)
by: Manchanda, Jiya, et al.
Published: (2024)
Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device LLMs
by: Sun, Luoyang, et al.
Published: (2026)
by: Sun, Luoyang, et al.
Published: (2026)
Language Models Are Implicitly Continuous
by: Marro, Samuele, et al.
Published: (2025)
by: Marro, Samuele, et al.
Published: (2025)
Benchmarking Cognitive Biases in Large Language Models as Evaluators
by: Koo, Ryan, et al.
Published: (2023)
by: Koo, Ryan, et al.
Published: (2023)
Are LLM Uncertainty and Correctness Encoded by the Same Features? A Functional Dissociation via Sparse Autoencoders
by: Patel, Het, et al.
Published: (2026)
by: Patel, Het, et al.
Published: (2026)
Overcoming Long-Context Limitations of State-Space Models via Context-Dependent Sparse Attention
by: Zhan, Zhihao, et al.
Published: (2025)
by: Zhan, Zhihao, et al.
Published: (2025)
Skill Availability and Presentation Granularity in Large-Language-Model Agents: A Controlled SkillsBench Study
by: Xu, Xiaonan, et al.
Published: (2026)
by: Xu, Xiaonan, et al.
Published: (2026)
Scaling Laws for Forgetting When Fine-Tuning Large Language Models
by: Kalajdzievski, Damjan
Published: (2024)
by: Kalajdzievski, Damjan
Published: (2024)
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation
by: Stacey, Joe, et al.
Published: (2023)
by: Stacey, Joe, et al.
Published: (2023)
MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering
by: Ness, Robert Osazuwa, et al.
Published: (2024)
by: Ness, Robert Osazuwa, et al.
Published: (2024)
From Facts to Folklore: Evaluating Large Language Models on Bengali Cultural Knowledge
by: Chowdhury, Nafis, et al.
Published: (2025)
by: Chowdhury, Nafis, et al.
Published: (2025)
Where Should LoRA Go? Component-Type Placement in Hybrid Language Models
by: Borobia, Hector, et al.
Published: (2026)
by: Borobia, Hector, et al.
Published: (2026)
EVM-QuestBench: An Execution-Grounded Benchmark for Natural-Language Transaction Code Generation
by: Yang, Pei, et al.
Published: (2026)
by: Yang, Pei, et al.
Published: (2026)
Context-Aware Clustering using Large Language Models
by: Tipirneni, Sindhu, et al.
Published: (2024)
by: Tipirneni, Sindhu, et al.
Published: (2024)
Combining Language and Topic Models for Hierarchical Text Classification
by: Toit, Jaco du, et al.
Published: (2025)
by: Toit, Jaco du, et al.
Published: (2025)
Memory Bank Compression for Continual Adaptation of Large Language Models
by: Katraouras, Thomas, et al.
Published: (2026)
by: Katraouras, Thomas, et al.
Published: (2026)
Reconstructing Syllable Sequences in Abugida Scripts with Incomplete Inputs
by: Thu, Ye Kyaw, et al.
Published: (2025)
by: Thu, Ye Kyaw, et al.
Published: (2025)
Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
by: Adapala, Sai Teja Reddy
Published: (2025)
by: Adapala, Sai Teja Reddy
Published: (2025)
Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models
by: Kurtic, Eldar, et al.
Published: (2024)
by: Kurtic, Eldar, et al.
Published: (2024)
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding
by: Zhu, Jiajun, et al.
Published: (2025)
by: Zhu, Jiajun, et al.
Published: (2025)
The Role of Language Imbalance in Cross-lingual Generalisation: Insights from Cloned Language Experiments
by: Schäfer, Anton, et al.
Published: (2024)
by: Schäfer, Anton, et al.
Published: (2024)
OCRR: A Benchmark for Online Correction Recovery under Distribution Shift
by: Grassi, Adrian
Published: (2026)
by: Grassi, Adrian
Published: (2026)
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading
by: Dinh, Tu Anh, et al.
Published: (2024)
by: Dinh, Tu Anh, et al.
Published: (2024)
Constraint-Driven Small Language Models Based on Agent and OpenAlex Knowledge Graph: Mining Conceptual Pathways and Discovering Innovation Points in Academic Papers
by: Xia, Ziye, et al.
Published: (2025)
by: Xia, Ziye, et al.
Published: (2025)
Kronecker Embeddings: Byte-Level Structured Token Representations for Parameter-Efficient Language Models
by: Shravan, Rohan
Published: (2026)
by: Shravan, Rohan
Published: (2026)
How Language Models Process Out-of-Distribution Inputs: A Two-Pathway Framework
by: Saghir, Hamidreza
Published: (2026)
by: Saghir, Hamidreza
Published: (2026)
ContextBench: A Benchmark for Context Retrieval in Coding Agents
by: Li, Han, et al.
Published: (2026)
by: Li, Han, et al.
Published: (2026)
RightNow-Arabic-0.5B-Turbo: An Open Sub-1B Arabic Language Model via Vocabulary Injection and Edge-First Deployment
by: Jaber, Jaber, et al.
Published: (2026)
by: Jaber, Jaber, et al.
Published: (2026)
Similar Items
-
Merge-Bench: Resolve Merge Conflicts with Large Language Models
by: Schesch, Benedikt, et al.
Published: (2026) -
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
by: Luo, Yuqi, et al.
Published: (2024) -
Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023) -
Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023) -
Engineering A Large Language Model From Scratch
by: Oketunji, Abiodun Finbarrs
Published: (2024)