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arXiv:2509.12955v2 Announce Type: replace Abstract: The automated generation of research workflows is essential for improving the reproducibility of research and...
arXiv:2507.13142v3 Announce Type: replace-cross Abstract: Modern language models address complex questions through chain-of-thought (CoT) reasoning (Wei et al., 2023) and...
arXiv:2509.17628v1 Announce Type: new Abstract: Large Language Models (LLMs) have excelled in question-answering (QA) tasks within single domains. However, their...
arXiv:2509.17437v1 Announce Type: new Abstract: Recent advancements in reinforcement learning (RL) have enhanced the reasoning abilities of large language models...
arXiv:2509.17481v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) have recently demonstrated remarkable progress, yet hallucination remains a critical barrier,...
arXiv:2309.11895v4 Announce Type: replace-cross Abstract: Standard fine-tuning of pre-trained audio models couples representation learning with classifier training, which can obscure...
arXiv:2506.12158v3 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly used to generate synthetic textual data for training smaller...
Can a 8B-parameter language model produce provably valid multi-step plans instead of plausible guesses? MIT CSAIL researchers introduce PDDL-INSTRUCT, an...
arXiv:2501.08454v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have become essential tools for digital task assistance. Their training relies...
Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations
Beyond Weaponization: NLP Security for Medium and Lower-Resourced Languages in Their Own Right
Beyond Token Limits: Assessing Language Model Performance on Long Text Classification
Beyond the Vector Store: Building the Full Data Layer for AI Applications
Beyond the Exploration-Exploitation Trade-off: A Hidden State Approach for LLM Reasoning in RLVR
Beyond Superficial Unlearning: Sharpness-Aware Robust Erasure of Hallucinations in Multimodal LLMs
Beyond single-model AI: How architectural design drives reliable multi-agent orchestration
