Shafagh Rastegari
Shafagh99
AI & ML interests
None yet
Recent Activity
updated
a collection
about 19 hours ago
Interpretability
updated
a collection
about 19 hours ago
Interpretability
updated
a collection
about 19 hours ago
Interpretability
Organizations
None yet
AI Agent
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The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey
Paper • 2404.11584 • Published • 1 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 195 -
Toward Efficient Agents: Memory, Tool learning, and Planning
Paper • 2601.14192 • Published • 54 -
Kimi K2.5: Visual Agentic Intelligence
Paper • 2602.02276 • Published • 230
Bias in LLM
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BBQ: A Hand-Built Bias Benchmark for Question Answering
Paper • 2110.08193 • Published • 1 -
Bias and Fairness in Large Language Models: A Survey
Paper • 2309.00770 • Published • 5 -
Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions
Paper • 2410.02584 • Published -
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
Paper • 2203.09509 • Published • 2
Interpretability
Research in LM interpretability
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From Understanding to Utilization: A Survey on Explainability for Large Language Models
Paper • 2401.12874 • Published • 4 -
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP
Paper • 2406.12618 • Published • 5 -
Rethinking Interpretability in the Era of Large Language Models
Paper • 2402.01761 • Published • 23 -
A Comprehensive Guide to Explainable AI: From Classical Models to LLMs
Paper • 2412.00800 • Published
RAG
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A Survey on Retrieval-Augmented Text Generation for Large Language Models
Paper • 2404.10981 • Published • 1 -
Finetune-RAG: Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented Generation
Paper • 2505.10792 • Published -
Rank1: Test-Time Compute for Reranking in Information Retrieval
Paper • 2502.18418 • Published • 29 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 38
LLM Distillation
Reasoning
Interpretability
Research in LM interpretability
-
From Understanding to Utilization: A Survey on Explainability for Large Language Models
Paper • 2401.12874 • Published • 4 -
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP
Paper • 2406.12618 • Published • 5 -
Rethinking Interpretability in the Era of Large Language Models
Paper • 2402.01761 • Published • 23 -
A Comprehensive Guide to Explainable AI: From Classical Models to LLMs
Paper • 2412.00800 • Published
AI Agent
-
The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey
Paper • 2404.11584 • Published • 1 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 195 -
Toward Efficient Agents: Memory, Tool learning, and Planning
Paper • 2601.14192 • Published • 54 -
Kimi K2.5: Visual Agentic Intelligence
Paper • 2602.02276 • Published • 230
RAG
-
A Survey on Retrieval-Augmented Text Generation for Large Language Models
Paper • 2404.10981 • Published • 1 -
Finetune-RAG: Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented Generation
Paper • 2505.10792 • Published -
Rank1: Test-Time Compute for Reranking in Information Retrieval
Paper • 2502.18418 • Published • 29 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 38
Bias in LLM
-
BBQ: A Hand-Built Bias Benchmark for Question Answering
Paper • 2110.08193 • Published • 1 -
Bias and Fairness in Large Language Models: A Survey
Paper • 2309.00770 • Published • 5 -
Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions
Paper • 2410.02584 • Published -
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
Paper • 2203.09509 • Published • 2
LLM Distillation