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L+M-24: Building a Dataset for Language + Molecules @ ACL 2024
v1v2 (latest)

L+M-24: Building a Dataset for Language + Molecules @ ACL 2024

22 February 2024
Carl Edwards
Qingyun Wang
Lawrence Zhao
Heng Ji
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "L+M-24: Building a Dataset for Language + Molecules @ ACL 2024"

13 / 13 papers shown
Title
MolEdit: Knowledge Editing for Multimodal Molecule Language Models
MolEdit: Knowledge Editing for Multimodal Molecule Language Models
Zhenyu Lei
Patrick Soga
Yaochen Zhu
Yinhan He
Yushun Dong
Jundong Li
KELM
338
1
0
16 Nov 2025
RTMol: Rethinking Molecule-text Alignment in a Round-trip View
RTMol: Rethinking Molecule-text Alignment in a Round-trip View
Letian Chen
Runhan Shi
Gufeng Yu
Yang Yang
98
1
0
15 Nov 2025
KnowMol: Advancing Molecular Large Language Models with Multi-Level Chemical Knowledge
KnowMol: Advancing Molecular Large Language Models with Multi-Level Chemical Knowledge
Zaifei Yang
Hong Chang
Ruibing Hou
Shiguang Shan
Xilin Chen
116
1
0
22 Oct 2025
Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs
Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs
Lecheng Kong
Xiyuan Wang
Yixin Chen
Muhan Zhang
AI4CELRM
113
0
0
01 Oct 2025
Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning
Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning
Tianle Zhang
Wanlong Fang
Jonathan Woo
Paridhi Latawa
Deepak A.Subramanian
Alvin Chan
173
1
0
22 Sep 2025
Improving Large Language Models with Concept-Aware Fine-Tuning
Improving Large Language Models with Concept-Aware Fine-Tuning
Michael K. Chen
Xikun Zhang
Jiaxing Huang
Dacheng Tao
257
1
0
09 Jun 2025
MolGround: A Benchmark for Molecular Grounding
MolGround: A Benchmark for Molecular Grounding
Jiaxin Wu
Ting Zhang
Rubing Chen
Wengyu Zhang
Chen Jason Zhang
Xiaoyong Wei
Li Qing
535
1
0
31 Mar 2025
Vector-ICL: In-context Learning with Continuous Vector Representations
Vector-ICL: In-context Learning with Continuous Vector RepresentationsInternational Conference on Learning Representations (ICLR), 2024
Yufan Zhuang
Chandan Singh
Liyuan Liu
Jingbo Shang
Jianfeng Gao
420
10
0
21 Feb 2025
Chemical Language Model Linker: blending text and molecules with modular adapters
Chemical Language Model Linker: blending text and molecules with modular adaptersJournal of Chemical Information and Modeling (JCIM), 2024
Yifan Deng
Spencer S. Ericksen
Anthony Gitter
462
3
0
26 Oct 2024
FARM: Functional Group-Aware Representations for Small Molecules
FARM: Functional Group-Aware Representations for Small Molecules
Thao Nguyen
Kuan-Hao Huang
Ge Liu
Martin D. Burke
Ying Diao
Mengyue Yang
299
3
0
02 Oct 2024
SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models
SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models
Kehua Feng
Keyan Ding
Weijie Wang
Xiang Zhuang
Yuqi Tang
Ming Qin
Yu Zhao
ELM
330
12
0
13 Jun 2024
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey
Qizhi Pei
Lijun Wu
Ran Bi
Jinhua Zhu
Yue Wang
Guoqing Liu
Tao Qin
Lijun Wu
Rui Yan
AI4CE
357
22
0
03 Mar 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability
3VL: Using Trees to Improve Vision-Language Models' InterpretabilityIEEE Transactions on Image Processing (IEEE TIP), 2023
Nir Yellinek
Leonid Karlinsky
Raja Giryes
CoGeVLM
513
7
0
28 Dec 2023
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