Ting-En Lin

tnlin's activity

• All
• Models
• Datasets
• Spaces
• Papers
• Collections
• Community
• Posts
• Upvotes
• Likes

upvoted 2 papers 15 days ago

Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published 17 days ago • 71

ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published 17 days ago • 68

upvoted 2 papers about 1 month ago

Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts

Paper • 2411.10669 • Published Nov 16 • 10

IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization

Paper • 2411.06208 • Published Nov 9 • 19

upvoted a paper about 2 months ago

Teach Multimodal LLMs to Comprehend Electrocardiographic Images

Paper • 2410.19008 • Published Oct 21 • 23

upvoted 3 papers 2 months ago

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs

Paper • 2410.18451 • Published Oct 24 • 15

Baichuan-Omni Technical Report

Paper • 2410.08565 • Published Oct 11 • 84

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

Paper • 2410.08815 • Published Oct 11 • 43

upvoted 8 papers 3 months ago

MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Paper • 2410.07095 • Published Oct 9 • 6

Law of the Weakest Link: Cross Capabilities of Large Language Models

Paper • 2409.19951 • Published Sep 30 • 53

OmniBench: Towards The Future of Universal Omni-Language Models

Paper • 2409.15272 • Published Sep 23 • 26

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models

Paper • 2409.17146 • Published Sep 25 • 104

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions

Paper • 2409.18042 • Published Sep 26 • 36

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning

Paper • 2409.20566 • Published Sep 30 • 53

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1 • 144

RACER: Rich Language-Guided Failure Recovery Policies for Imitation Learning

Paper • 2409.14674 • Published Sep 23 • 41

upvoted a paper 4 months ago

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct

Paper • 2409.05840 • Published Sep 9 • 45

upvoted 3 papers 5 months ago

The Llama 3 Herd of Models

Paper • 2407.21783 • Published Jul 31 • 110

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval

Paper • 2407.19669 • Published Jul 29 • 22

Internal Consistency and Self-Feedback in Large Language Models: A Survey

Paper • 2407.14507 • Published Jul 19 • 46