10. Teaching MLLMs to Think with Images GRIT is a new method that enables MLLMs to perform grounded visual reasoning by interleaving natural language with bounding box references.
@dair_ai
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ARC-AGI-2: New Benchmark Pushes AI Reasoning Boundaries
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9. ARC-AGI-2 ARC-AGI-2 is a new benchmark designed to push the boundaries of AI reasoning beyond the original ARC-AGI.
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AdaptThink: RL Framework for Dynamic Reasoning Strategy Selection
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7. AdaptThink This paper introduces AdaptThink, an RL framework designed to help reasoning models decide when to use detailed chain-of-thought reasoning (“Thinking”) versus directly producing an answer (“NoThinking”), based on task difficulty.
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MedBrowseComp: LLM Agents Medical Fact-Finding Benchmark
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8. MedBrowseComp MedBrowseComp is a new benchmark designed to evaluate LLM agents’ ability to perform complex, multi-hop medical fact-finding by browsing real-world, domain-specific web resources.
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AI Model Predicts Immunotherapy Treatment Response Outcomes
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5. AI Predicts Immunotherapy Outcomes Across Cancers and Treatments Introduces COMPASS, a concept bottleneck-based foundation model that predicts patient response to immune checkpoint inhibitors (ICIs) using tumor transcriptomic data.
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LLM Reasoning in Dynamic Environments Beyond Static Benchmarks
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6. Towards a Deeper Understanding of Reasoning in LLMs This paper investigates whether LLMs can adapt and reason in dynamic environments, moving beyond static benchmarks.
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Chain-of-Thought Prompting Trade-offs in Reasoning Models
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4. The Pitfalls of Reasoning Explores an unexpected flaw in reasoning-augmented large language models (RLLMs): while chain-of-thought (CoT) prompting often boosts performance on complex reasoning tasks, it can degrade instruction-following accuracy.
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Novel LLM Training Approach for Thoughtful Evaluation Reasoning
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3. J1 Introduces a novel training approach for LLMs to act as evaluators (LLM-as-a-Judge) by explicitly incentivizing thoughtful reasoning during judgment.
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EfficientLLM: Benchmark for LLM efficiency trade-offs
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2. EfficientLLM Introduces the first large-scale, empirical benchmark for evaluating efficiency trade-offs in LLMs across architecture, fine-tuning, and inference.
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Top AI Research Papers of the Week: May 19-25
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Here are the top AI Papers of the Week (May 19 – 25): – ARC-AGI-2
– AdaptThink
– EfficientLLM
– Visual Planning
– The Pitfalls of Reasoning
– Teaching MLLMs to Think with Images Here is the full list: