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DiVA: Fine-grained Factuality Verification with Agentic-Discriminative Verifier
arXiv:2601.03605v1 Announce Type: new Abstract: Despite the significant advancements of Large Language Models (LLMs), their...
DiTTO-LLM: Framework for Discovering Topic-based Technology Opportunities via Large Language Model
arXiv:2509.09724v1 Announce Type: new Abstract: Technology opportunities are critical information that serve as a foundation...
Distribution-Aligned Decoding for Efficient LLM Task Adaptation
arXiv:2509.15888v3 Announce Type: replace Abstract: Adapting billion-parameter language models to a downstream task is still...
Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation
arXiv:2512.21002v2 Announce Type: replace Abstract: Distilling the capabilities from a large reasoning model (LRM) to...
Distilling Multilingual Vision-Language Models: When Smaller Models Stay Multilingual
arXiv:2510.26271v1 Announce Type: new Abstract: Vision-language models (VLMs) exhibit uneven performance across languages, a problem...
Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
arXiv:2601.04377v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) has emerged as an important means of...
Digging for clues about the North Pole’s past
In the past, even with an icebreaker and during peak melt season, getting to the...
DiFlow-TTS: Discrete Flow Matching with Factorized Speech Tokens for Low-Latency Zero-Shot Text-To-Speech
arXiv:2509.09631v1 Announce Type: cross Abstract: Zero-shot Text-to-Speech (TTS) aims to synthesize high-quality speech that mimics...
Diffusion Language Models Know the Answer Before Decoding
arXiv:2508.19982v1 Announce Type: new Abstract: Diffusion language models (DLMs) have recently emerged as an alternative...
Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning
arXiv:2510.27469v1 Announce Type: new Abstract: In recent years, large language models (LLMs) have witnessed remarkable...
Did You Forget What I Asked? Prospective Memory Failures in Large Language Models
arXiv:2603.23530v1 Announce Type: new Abstract: Large language models often fail to satisfy formatting instructions when...
Did I Faithfully Say What I Thought? Bridging the Gap Between Neural Activity and Self-Explanations in Large Language Models
arXiv:2506.09277v2 Announce Type: replace Abstract: Large Language Models (LLM) have demonstrated the capability of generating...
