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Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering
arXiv:2502.13962v2 Announce Type: replace Abstract: Scaling the test-time compute of large language models has demonstrated...
Introspective Growth: Automatically Advancing LLM Expertise in Technology Judgment
arXiv:2505.12452v2 Announce Type: replace Abstract: Large language models (LLMs) increasingly demonstrate signs of conceptual understanding...
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...
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...
InfoFlood: Jailbreaking Large Language Models with Information Overload
arXiv:2506.12274v1 Announce Type: cross Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across various...
Inducing lexicons of in-group language with socio-temporal context
arXiv:2409.19257v3 Announce Type: replace Abstract: In-group language is an important signifier of group dynamics. This...
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning
arXiv:2311.08010v3 Announce Type: replace Abstract: Distantly-Supervised Named Entity Recognition (DS-NER) is widely used in real-world...
