ข่าว
Interpretable Question Answering with Knowledge Graphs
arXiv:2510.19181v1 Announce Type: new Abstract: This paper presents a question answering system that operates exclusively...
Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization
arXiv:2507.05137v2 Announce Type: replace Abstract: Learning Japanese vocabulary is a challenge for learners from Roman...
Internal World Models as Imagination Networks in Cognitive Agents
arXiv:2510.04391v1 Announce Type: cross Abstract: What is the computational objective of imagination? While classical interpretations...
Internal Coherence Maximization (ICM): A Label-Free, Unsupervised Training Framework for LLMs
Post-training methods for pre-trained language models (LMs) depend on human supervision through demonstrations or preference...
IntentionESC: An Intention-Centered Framework for Enhancing Emotional Support in Dialogue Systems
arXiv:2506.05947v1 Announce Type: new Abstract: In emotional support conversations, unclear intentions can lead supporters to...
Integral Transformer: Denoising Attention, Not Too Much Not Too Little
arXiv:2508.18387v1 Announce Type: new Abstract: Softmax self-attention often assigns disproportionate weight to semantically uninformative tokens...
InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech Systems
arXiv:2506.16381v1 Announce Type: new Abstract: In modern speech synthesis, paralinguistic information–such as a speaker’s vocal...
Inside the story that enraged OpenAI
In 2019, Karen Hao, a senior reporter with MIT Technology Review, pitched me on writing...
Inside India’s scramble for AI independence
In Bengaluru, India, Adithya Kolavi felt a mix of excitement and validation as he watched...
Inside Google’s AI leap: Gemini 2.5 thinks deeper, speaks smarter and codes faster
Google is moving closer to its goal of autonomous agentic AI with a series of...
Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models
arXiv:2507.13761v1 Announce Type: new Abstract: Language models are highly sensitive to prompt formulations – small...
InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
arXiv:2509.12765v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) has emerged as a promising approach to...
