activity
20172026
most citedDeep Voice: Real-time Neural Text-to-Speech

397 citations · 559 across the 35 of their papers we have counts for

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Showing cs.CLShow all

22 papers · 1 filter

cs.CL20251 cited

ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality

Shayne Longpre, Sneha Kudugunta, Niklas Muennighoff +6

Scaling laws research has focused overwhelmingly on English -- yet the most prominent AI models explicitly serve billions of international users. In this work, we undertake the lar…

cs.CL202549 cited

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431

In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our…

cs.CL2025

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling

Fei Wang, Xingchen Wan, Ruoxi Sun +2

Inference-time scaling has proven effective in boosting large language model (LLM) performance through increased test-time computation. Yet, its practical application is often hind…

cs.CL2025

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Bowen Jin, Jinsung Yoon, Priyanka Kargupta +2

Reinforcement learning (RL) has demonstrated strong potential in training large language models (LLMs) capable of complex reasoning for real-world problem solving. More recently, R…

cs.CL2025

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective

Bowen Jin, Jinsung Yoon, Zhen Qin +5

Large Language Models (LLMs) have revolutionized artificial intelligence with capabilities in reasoning, coding, and communication, driving innovation across industries. Their true…

cs.CL2024

Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling

Maximillian Chen, Ruoxi Sun, Sercan Ö. Arık

Conversational assistants are increasingly popular across diverse real-world applications, highlighting the need for advanced multimodal speech modeling. Speech, as a natural mode…