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arXiv:2508.02997v3 Announce Type: replace Abstract: The widespread use of Large Language Models (LLMs) in many applications marks a significant advance...
arXiv:2508.20395v1 Announce Type: new Abstract: Recent advancements in large language models (LLMs) often rely on generating intermediate reasoning steps to...
arXiv:2508.19689v1 Announce Type: new Abstract: Developing adaptable, extensible, and accurate task bots with minimal or zero human intervention is a...
arXiv:2503.01510v2 Announce Type: replace Abstract: We present KoWit-24, a dataset with fine-grained annotation of wordplay in 2,700 Russian news headlines....
arXiv:2508.19982v1 Announce Type: new Abstract: Diffusion language models (DLMs) have recently emerged as an alternative to autoregressive approaches, offering parallel...
arXiv:2508.19402v1 Announce Type: new Abstract: Humor is a broad and complex form of communication that remains challenging for machines. Despite...
Nous Research has released Hermes 4, a family of open-weight models (14B, 70B, and 405B parameter sizes based on Llama...
arXiv:2409.08846v3 Announce Type: replace-cross Abstract: Backdoor-based fingerprinting has emerged as an effective technique for tracing the ownership of large language...
arXiv:2508.18370v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated exceptional capabilities when trained within executable runtime environments, notably...
Adversarial Topic-aware Prompt-tuning for Cross-topic Automated Essay Scoring
Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning
Advancing next-gen AI with materials science innovation
ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerce
Adopting agentic AI? Build AI fluency, redesign workflows, don’t neglect supervision
Adaptive Multi-Step Lookahead Decoding for Diffusion Language Models
Adaptive Experimentation with Meta’s Ax: A Practical Coding Guide
Adaptive Decoding via Test-Time Policy Learning for Self-Improving Generation
Adapting Web Agents with Synthetic Supervision
Achieving Tokenizer Flexibility in Language Models through Heuristic Adaptation and Supertoken Learning
