Anupam G PRO
mapuna
AI & ML interests
None yet
Organizations
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Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
Paper • 2507.13158 • Published • 24 -
DataChef: Cooking Up Optimal Data Recipes for LLM Adaptation via Reinforcement Learning
Paper • 2602.11089 • Published • 18 -
Experiential Reinforcement Learning
Paper • 2602.13949 • Published • 76 -
Self-Distilled Agentic Reinforcement Learning
Paper • 2605.15155 • Published • 117
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Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Paper • 2503.21460 • Published • 84 -
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
Paper • 2603.12180 • Published • 65 -
EvoMaster: A Foundational Agent Framework for Building Evolving Autonomous Scientific Agents at Scale
Paper • 2604.17406 • Published • 6
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Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking
Paper • 2503.19855 • Published • 29 -
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Paper • 2503.22675 • Published • 36 -
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Paper • 2504.08837 • Published • 46 -
OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning
Paper • 2505.08617 • Published • 42
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Long-Context Autoregressive Video Modeling with Next-Frame Prediction
Paper • 2503.19325 • Published • 73 -
CoMP: Continual Multimodal Pre-training for Vision Foundation Models
Paper • 2503.18931 • Published • 31 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 63 -
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction
Paper • 2507.15852 • Published • 38
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Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models
Paper • 2503.21380 • Published • 38 -
Video-R1: Reinforcing Video Reasoning in MLLMs
Paper • 2503.21776 • Published • 79 -
Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
Paper • 2503.21696 • Published • 23 -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 15
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Union of Experts: Adapting Hierarchical Routing to Equivalently Decomposed Transformer
Paper • 2503.02495 • Published • 9 -
Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models
Paper • 2511.18890 • Published • 37 -
World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models
Paper • 2511.22787 • Published • 10
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ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems
Paper • 2503.20756 • Published • 7 -
BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset
Paper • 2505.09568 • Published • 100 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 224 -
Qwen3-Omni Technical Report
Paper • 2509.17765 • Published • 154
-
CoLLM: A Large Language Model for Composed Image Retrieval
Paper • 2503.19910 • Published • 15 -
Parallel Scaling Law for Language Models
Paper • 2505.10475 • Published • 83 -
OLMoE: Open Mixture-of-Experts Language Models
Paper • 2409.02060 • Published • 81 -
Dynamic Chunking Diffusion Transformer
Paper • 2603.06351 • Published • 16
-
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
Paper • 2507.13158 • Published • 24 -
DataChef: Cooking Up Optimal Data Recipes for LLM Adaptation via Reinforcement Learning
Paper • 2602.11089 • Published • 18 -
Experiential Reinforcement Learning
Paper • 2602.13949 • Published • 76 -
Self-Distilled Agentic Reinforcement Learning
Paper • 2605.15155 • Published • 117
-
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Paper • 2503.21460 • Published • 84 -
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
Paper • 2603.12180 • Published • 65 -
EvoMaster: A Foundational Agent Framework for Building Evolving Autonomous Scientific Agents at Scale
Paper • 2604.17406 • Published • 6
-
Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models
Paper • 2503.21380 • Published • 38 -
Video-R1: Reinforcing Video Reasoning in MLLMs
Paper • 2503.21776 • Published • 79 -
Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
Paper • 2503.21696 • Published • 23 -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 15
-
Union of Experts: Adapting Hierarchical Routing to Equivalently Decomposed Transformer
Paper • 2503.02495 • Published • 9 -
Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models
Paper • 2511.18890 • Published • 37 -
World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models
Paper • 2511.22787 • Published • 10
-
ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems
Paper • 2503.20756 • Published • 7 -
BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset
Paper • 2505.09568 • Published • 100 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 224 -
Qwen3-Omni Technical Report
Paper • 2509.17765 • Published • 154
-
Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking
Paper • 2503.19855 • Published • 29 -
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Paper • 2503.22675 • Published • 36 -
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Paper • 2504.08837 • Published • 46 -
OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning
Paper • 2505.08617 • Published • 42
-
Long-Context Autoregressive Video Modeling with Next-Frame Prediction
Paper • 2503.19325 • Published • 73 -
CoMP: Continual Multimodal Pre-training for Vision Foundation Models
Paper • 2503.18931 • Published • 31 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 63 -
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction
Paper • 2507.15852 • Published • 38
-
CoLLM: A Large Language Model for Composed Image Retrieval
Paper • 2503.19910 • Published • 15 -
Parallel Scaling Law for Language Models
Paper • 2505.10475 • Published • 83 -
OLMoE: Open Mixture-of-Experts Language Models
Paper • 2409.02060 • Published • 81 -
Dynamic Chunking Diffusion Transformer
Paper • 2603.06351 • Published • 16