OpenAI Blog
Aug 5, 2025
Introducing gpt-oss
We’re releasing gpt-oss-120b and gpt-oss-20b—two state-of-the-art open-weight language models that deliver strong real-world performance at low cost. Available under the flexible Apache 2.
WebGPT: Improving the factual accuracy of language models through web browsing
We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.
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OpenAI Blog
Oct 30, 2024
Introducing SimpleQA
A factuality benchmark called SimpleQA that measures the ability for language models to answer short, fact-seeking questions.
Hugging Face Trending Papers
Jul 24
PatiGonit22K: A Comprehensive Dataset for Solving Complex Bengali MWPs
Mathematical Word Problems (MWPs) are an important benchmark for evaluating natural language understanding and quantitative reasoning. Despite recent progress in high resource languages, Bengali remains underexplored due to the limited availability of large scale annotated datasets.
arXiv AI
Jun 16
Combining Retrieval-Augmented Text Generation with LLMs for Reading Content Recommendations
arXiv:2606. 14817v1 Announce Type: cross Abstract: This work presents the design, implementation, and evaluation of a system for generating personalized reading content using Large Language Models (LLMs) combined with Retrieval-Augmented Generation (RAG).
DeepMind Blog
Dec 9, 2025
FACTS Benchmark Suite: Systematically evaluating the factuality of large language models
Systematically evaluating the factuality of large language models with the FACTS Benchmark Suite.
Hugging Face Trending Papers
Jun 29
Little Brains, Big Feats: Exploring Compact Language Models
While large language models have been dominating the research landscape recently, small language models remain highly relevant across various domains; yet, they receive far less attention. In this study, we investigate how smaller language models perform during the generation stage within a Retrieval-Augmented Generation (RAG) system.
arXiv AI
Jun 26
KARLA: Knowledge-base Augmented Retrieval for Language Models
arXiv:2606. 26807v1 Announce Type: new Abstract: We propose a new method that allows an LLM to automatically pull in factual knowledge from a knowledge base during token generation.
arXiv AI
Jun 10
RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty
arXiv:2602. 12424v2 Announce Type: replace-cross Abstract: Benchmarks establish a standardized evaluation framework to systematically assess the performance of large language models (LLMs), facilitating objective comparisons and driving advancements in the field.
arXiv AI
Aug 3
WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics
arXiv:2601. 02430v3 Announce Type: replace-cross Abstract: Web applications (web apps) have become a key arena for large language models (LLMs) to demonstrate their code generation capabilities and commercial potential.
arXiv AI
Jul 1
SAGE: A Search-AuGmented Evaluation of Large Language Models on Free-Form QA
arXiv:2504. 07385v3 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) become increasingly used for question-answering (QA), relying on static, pre-annotated references for evaluation poses significant challenges in cost, scalability, and completeness.
arXiv AI
Jun 30
Little Brains, Big Feats: Exploring Compact Language Models
arXiv:2606. 30062v1 Announce Type: cross Abstract: While large language models have been dominating the research landscape recently, small language models remain highly relevant across various domains; yet, they receive far less attention.
arXiv AI
Jun 9
Bidirectional Small-Granularity Search between Code and Text
arXiv:2606. 07519v1 Announce Type: cross Abstract: We introduce the novel task of bidirectional small-granularity search between code and text, where the queries are small snippets of text or code and the results are also small fragments of the opposite modality, i.