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‘I wish I could push ChatGPT off a cliff’: professors scramble to save critical thinking in an age of AI
Llms

‘I wish I could push ChatGPT off a cliff’: professors scramble to save critical thinking in an age of AI

As AI has upended the way students learn, academics worry about the future of the humanities – and society at large

AI News - General · 12 min ·
Llms

Introducing TRIBE v2: A Predictive Foundation Model Trained to Understand How the Human Brain Processes Complex Stimuli

"Understanding how the human brain processes the world around us is one of the greatest open challenges in neuroscience. Breakthroughs he...

Reddit - Artificial Intelligence · 1 min ·
Llms

[R] Which place should I commit to ACL SRW or ICML workshop or AACL?

Hello everyone, I got ARR review set on March 12 with submitted paper. OA 3, 2.5, 2.5 and 2. Meta review is 2.5 the harsh (2) guy critici...

Reddit - Machine Learning · 1 min ·

All Content

‘I wish I could push ChatGPT off a cliff’: professors scramble to save critical thinking in an age of AI
Llms

‘I wish I could push ChatGPT off a cliff’: professors scramble to save critical thinking in an age of AI

As AI has upended the way students learn, academics worry about the future of the humanities – and society at large

AI News - General · 12 min ·
Llms

Introducing TRIBE v2: A Predictive Foundation Model Trained to Understand How the Human Brain Processes Complex Stimuli

"Understanding how the human brain processes the world around us is one of the greatest open challenges in neuroscience. Breakthroughs he...

Reddit - Artificial Intelligence · 1 min ·
Llms

[R] Which place should I commit to ACL SRW or ICML workshop or AACL?

Hello everyone, I got ARR review set on March 12 with submitted paper. OA 3, 2.5, 2.5 and 2. Meta review is 2.5 the harsh (2) guy critici...

Reddit - Machine Learning · 1 min ·
[2603.24343] Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms
Llms

[2603.24343] Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms

Abstract page for arXiv paper 2603.24343: Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & ...

arXiv - AI · 4 min ·
[2603.11687] SemBench: A Universal Semantic Framework for LLM Evaluation
Llms

[2603.11687] SemBench: A Universal Semantic Framework for LLM Evaluation

Abstract page for arXiv paper 2603.11687: SemBench: A Universal Semantic Framework for LLM Evaluation

arXiv - AI · 4 min ·
[2603.16179] 360° Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free Method
Llms

[2603.16179] 360° Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free Method

Abstract page for arXiv paper 2603.16179: 360° Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free Method

arXiv - AI · 4 min ·
[2603.11583] UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization
Llms

[2603.11583] UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

Abstract page for arXiv paper 2603.11583: UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

arXiv - AI · 3 min ·
[2603.11413] Evaluation format, not model capability, drives triage failure in the assessment of consumer health AI
Llms

[2603.11413] Evaluation format, not model capability, drives triage failure in the assessment of consumer health AI

Abstract page for arXiv paper 2603.11413: Evaluation format, not model capability, drives triage failure in the assessment of consumer he...

arXiv - AI · 4 min ·
[2603.16673] When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
Llms

[2603.16673] When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making

Abstract page for arXiv paper 2603.16673: When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Rob...

arXiv - Machine Learning · 4 min ·
[2603.06663] Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting
Llms

[2603.06663] Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting

Abstract page for arXiv paper 2603.06663: Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual ...

arXiv - AI · 4 min ·
[2601.06394] Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing and LLM Sequence Classification
Llms

[2601.06394] Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing and LLM Sequence Classification

Abstract page for arXiv paper 2601.06394: Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing an...

arXiv - AI · 4 min ·
[2512.14698] TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs
Llms

[2512.14698] TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs

Abstract page for arXiv paper 2512.14698: TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs

arXiv - AI · 4 min ·
[2512.10411] SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing
Llms

[2512.10411] SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing

Abstract page for arXiv paper 2512.10411: SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Pro...

arXiv - AI · 4 min ·
[2510.12117] Locket: Robust Feature-Locking Technique for Language Models
Llms

[2510.12117] Locket: Robust Feature-Locking Technique for Language Models

Abstract page for arXiv paper 2510.12117: Locket: Robust Feature-Locking Technique for Language Models

arXiv - Machine Learning · 3 min ·
[2512.00804] Epistemic Bias Injection: Biasing LLMs via Selective Context Retrieval
Llms

[2512.00804] Epistemic Bias Injection: Biasing LLMs via Selective Context Retrieval

Abstract page for arXiv paper 2512.00804: Epistemic Bias Injection: Biasing LLMs via Selective Context Retrieval

arXiv - AI · 4 min ·
[2511.20721] Foundry: Distilling 3D Foundation Models for the Edge
Llms

[2511.20721] Foundry: Distilling 3D Foundation Models for the Edge

Abstract page for arXiv paper 2511.20721: Foundry: Distilling 3D Foundation Models for the Edge

arXiv - Machine Learning · 4 min ·
[2509.24296] DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
Llms

[2509.24296] DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models

Abstract page for arXiv paper 2509.24296: DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models

arXiv - AI · 4 min ·
[2509.19354] GeoResponder: Towards Building Geospatial LLMs for Time-Critical Disaster Response
Llms

[2509.19354] GeoResponder: Towards Building Geospatial LLMs for Time-Critical Disaster Response

Abstract page for arXiv paper 2509.19354: GeoResponder: Towards Building Geospatial LLMs for Time-Critical Disaster Response

arXiv - AI · 3 min ·
[2508.15090] Mapping the Course for Prompt-based Structured Prediction
Llms

[2508.15090] Mapping the Course for Prompt-based Structured Prediction

Abstract page for arXiv paper 2508.15090: Mapping the Course for Prompt-based Structured Prediction

arXiv - AI · 3 min ·
[2507.20423] CodeNER: Code Prompting for Named Entity Recognition
Llms

[2507.20423] CodeNER: Code Prompting for Named Entity Recognition

Abstract page for arXiv paper 2507.20423: CodeNER: Code Prompting for Named Entity Recognition

arXiv - AI · 4 min ·
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