Ting-En Lin

tnlin's activity

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

upvoted a paper 3 days ago

Debate Helps Weak-to-Strong Generalization

Paper • 2501.13124 • Published 6 days ago • 3

upvoted 2 papers 18 days ago

SDPO: Segment-Level Direct Preference Optimization for Social Agents

Paper • 2501.01821 • Published 24 days ago • 18

OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis

Paper • 2501.04561 • Published 19 days ago • 16

upvoted 2 papers about 2 months ago

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

Paper • 2412.06531 • Published Dec 9, 2024 • 71

ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published Dec 9, 2024 • 79

upvoted a paper 2 months ago

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

Paper • 2411.10669 • Published Nov 16, 2024 • 10

upvoted 3 papers 3 months ago

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

Paper • 2411.06208 • Published Nov 9, 2024 • 19

Teach Multimodal LLMs to Comprehend Electrocardiographic Images

Paper • 2410.19008 • Published Oct 21, 2024 • 23

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

Paper • 2410.18451 • Published Oct 24, 2024 • 16

upvoted 10 papers 4 months ago

Baichuan-Omni Technical Report

Paper • 2410.08565 • Published Oct 11, 2024 • 85

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

Paper • 2410.08815 • Published Oct 11, 2024 • 44

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

Paper • 2410.07095 • Published Oct 9, 2024 • 6

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

Paper • 2409.19951 • Published Sep 30, 2024 • 54

OmniBench: Towards The Future of Universal Omni-Language Models

Paper • 2409.15272 • Published Sep 23, 2024 • 27

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

Paper • 2409.17146 • Published Sep 25, 2024 • 106

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

Paper • 2409.18042 • Published Sep 26, 2024 • 37

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

Paper • 2409.20566 • Published Sep 30, 2024 • 55

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 145

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

Paper • 2409.14674 • Published Sep 23, 2024 • 42

upvoted a paper 5 months ago

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct

Paper • 2409.05840 • Published Sep 9, 2024 • 47