Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
Paper • 2605.04018 • Published • 40
Baha Altan Reisoğlu
altanreis
AI & ML interests
CNN,NLP,LLM,RNN
Recent Activity
upvoted a paper about 2 months ago
HY-Embodied-0.5: Embodied Foundation Models for Real-World AgentsOrganizations
upvoted a paper 15 days ago
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upvoted 4
papers about 2 months ago
HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents
Paper • 2604.07430 • Published • 189
Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
Paper • 2604.04247 • Published • 31
MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale
Paper • 2604.04771 • Published • 123
Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms
Paper • 2603.28489 • Published • 30
upvoted 4
papers 2 months ago
DA-Flow: Degradation-Aware Optical Flow Estimation with Diffusion Models
Paper • 2603.23499 • Published • 51
MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation
Paper • 2603.16861 • Published • 9
TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas
Paper • 2603.16448 • Published • 58
Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding
Paper • 2603.19235 • Published • 95
upvoted 2
papers 3 months ago
upvoted a collection 3 months ago
upvoted 3
papers 3 months ago
The Trinity of Consistency as a Defining Principle for General World Models
Paper • 2602.23152 • Published • 202
Experiential Reinforcement Learning
Paper • 2602.13949 • Published • 75
SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
Paper • 2602.13515 • Published • 45
upvoted 2
papers 4 months ago
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papers 5 months ago