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Found 10 papers, 9 papers with code
R3: Robust Rubric-Agnostic Reward Models
Reward models are essential for aligning language model outputs with human preferences, yet existing approaches often lack both controllability and interpretability.
Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia
Beyond crowdsourcing, our initiative goes one step further in the exploration of the automatic collection of culturally relevant images through crawling and image generation.
2 OLMo 2 Furious
Our modified model architecture and training recipe achieve both better training stability and improved per-token efficiency.
Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Language model post-training is applied to refine behaviors and unlock new skills across a wide range of recent language models, but open recipes for applying these techniques lag behind proprietary ones.
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
We analyze features from the routing model to identify characteristics of instances that can benefit from human feedback, e. g., prompts with a moderate safety concern or moderate intent complexity.
M-RewardBench: Evaluating Reward Models in Multilingual Settings
However, RMs are primarily trained and evaluated in English, and their capabilities in multilingual settings remain largely understudied.
SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages
Southeast Asia (SEA) is a region rich in linguistic diversity and cultural variety, with over 1, 300 indigenous languages and a population of 671 million people.
calamanCy: A Tagalog Natural Language Processing Toolkit
We introduce calamanCy, an open-source toolkit for constructing natural language processing (NLP) pipelines for Tagalog.
Developing a Named Entity Recognition Dataset for Tagalog
We present the development of a Named Entity Recognition (NER) dataset for Tagalog.
Geomancer: An Open-Source Framework for Geospatial Feature Engineering
This paper presents Geomancer, an open-source framework for geospatial feature engineering.
