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Found 11 papers, 7 papers with code
Crosslingual Reasoning through Test-Time Scaling
Third, we discover an effective strategy to control the language of long CoT reasoning, and we observe that models reason better and more efficiently in high-resource languages.
Llama-3.1-Sherkala-8B-Chat: An Open Large Language Model for Kazakh
Llama-3. 1-Sherkala-8B-Chat, or Sherkala-Chat (8B) for short, is a state-of-the-art instruction-tuned open generative large language model (LLM) designed for Kazakh.
Qorgau: Evaluating LLM Safety in Kazakh-Russian Bilingual Contexts
Large language models (LLMs) are known to have the potential to generate harmful content, posing risks to users.
Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI
To verify the generalizability of this finding across languages and domains, we perform an extensive case study to identify the upper bound of human detection accuracy.
GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human
We present the GenAI Content Detection Task~1 -- a shared task on binary machine generated text detection, conducted as a part of the GenAI workshop at COLING 2025.
LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection
Category (iii) aims to detect attempts to obfuscate the fact that a text was machine-generated, while category (iv) looks for cases where the LLM was used to polish a human-written text, which is typically acceptable in academic writing, but not in education.
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.
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection
The task attracted a large number of participants: subtask A monolingual (126), subtask A multilingual (59), subtask B (70), and subtask C (30).
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection
The advent of Large Language Models (LLMs) has brought an unprecedented surge in machine-generated text (MGT) across diverse channels.
Fake News Detectors are Biased against Texts Generated by Large Language Models
The spread of fake news has emerged as a critical challenge, undermining trust and posing threats to society.
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection
These results show that the problem is far from solved and that there is a lot of room for improvement.
