Memory-guided Prototypical Co-occurrence Learning for Mixed Emotion Recognition
arXiv:2602.20530v1 Announce Type: new Abstract: Emotion recognition from multi-modal physiological and behavioral signals plays a pivotal role in affective computing, yet most existing models remain constrained to the prediction of singular emotions in controlled laboratory settings. Real-world human emotional experiences,...
GENSR: Symbolic Regression Based in Equation Generative Space
arXiv:2602.20557v1 Announce Type: new Abstract: Symbolic Regression (SR) tries to reveal the hidden equations behind observed data. However, most methods search within a discrete equation space, where the structural modifications of equations rarely align with their numerical behavior, leaving fitting...
Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets
arXiv:2602.20578v1 Announce Type: new Abstract: We study online maximization of non-monotone Diminishing-Return(DR)-submodular functions over down-closed convex sets, a regime where existing projection-free online methods suffer from suboptimal regret and limited feedback guarantees. Our main contribution is a new structural result...
Justices send litigation about tainted baby food back to state court
Yesterday’s decision in The Hain Celestial Group v Palmquist resolves a technical problem about what to do when district courts make a mistaken ruling about their own jurisdiction. The final […]The postJustices send litigation about tainted baby food back to...
Justices reveal little about whether the deadline for removing cases to federal court can be excused
When a plaintiff files a lawsuit in state court asserting a claim that could be brought in federal court, federal law gives the defendant 30 days to remove the case […]The postJustices reveal little about whether the deadline for removing...
Salesforce CEO Marc Benioff: This isn’t our first SaaSpocalypse
Salesforce reported a solid year-end earnings and then pulled out all the stops to ward off more talk of the death of its business to AI.
Anthropic acquires computer-use AI startup Vercept after Meta poached one of its founders
Seattle-based Vercept developed complex agentic tools, including a computer-use agent that could complete tasks inside applications like a person with a laptop would.
Nvidia has another record quarter amid record capex spends
"The demand for tokens in the world has gone completely exponential," Nvidia CEO Jensen Huang said about the company's earnings.
The White House wants AI companies to cover rate hikes. Most have already said they would.
Many hyperscalers have already made public commitments to cover electricity cost increases.
Wearable startup CUDIS launches a new health ring line with an AI-fueled ‘coach’
The wearable incentivizes healthy behavior with points that can be redeemed for health products.
The public opposition to AI infrastructure is heating up
Public backlash over the data center boom is leading to a variety of draconian policies — including bans on new construction.
Gemini can now automate some multi-step tasks on Android
Gemini on Android will be able to automate tasks involving rideshare requests, or grocery or food delivery, says Google.
OpenAI COO says ads will be ‘an iterative process’
COO Brad Lightcap noted that ads can add to the product experience of users if they are done right. He urged to give OpenAI a few months to see how the company fares in rolling out the product.
OpenClaw creator’s advice to AI builders is to be more playful and allow yourself time to improve
Peter Steinberger talks about the creation of his viral AI agent OpenClaw and how being more "playful" makes for a better way to learn AI coding.
Have hard-won scaling lessons to share? Take the stage at TechCrunch Founder Summit 2026
Apply to speak at TechCrunch Founder Summit 2026 by April 17 for a chance to lead a roundtable or breakout session for 1,000 founders and investors. If you’ve built, backed, or operated inside high-growth startups, your experience could shape how...
3 days left: Save up to $680 on your TechCrunch Disrupt 2026 ticket
Just 3 days left to save up to $680 on your TechCrunch Disrupt 2026 ticket. Offer ends on Friday, February 27 at 11:59 p.m. PT. Don't miss unparalleled, curated networking and valuable insights from 250+ tech leaders, and discover 300+...
Amazon’s AI-powered Alexa+ gets new personality options
Users will be able to choose from Alexa styles like Brief, Chill, or Sweet, Amazon says.
Adobe Firefly’s video editor can now automatically create a first draft from footage
Adobe Firefly is getting a new feature called Quick Cut that uses AI to edit footage to create a first draft of the final video based on user instructions.
Khosla’s Keith Rabois backs Comp, which wants to bolster HR teams with AI
The HR tech startup, which currently operates in Brazil, has raised a $17.25 million Series A.
IAPO: Information-Aware Policy Optimization for Token-Efficient Reasoning
arXiv:2602.19049v1 Announce Type: new Abstract: Large language models increasingly rely on long chains of thought to improve accuracy, yet such gains come with substantial inference-time costs. We revisit token-efficient post-training and argue that existing sequence-level reward-shaping methods offer limited control...
TriTopic: Tri-Modal Graph-Based Topic Modeling with Iterative Refinement and Archetypes
arXiv:2602.19079v1 Announce Type: new Abstract: Topic modeling extracts latent themes from large text collections, but leading approaches like BERTopic face critical limitations: stochastic instability, loss of lexical precision ("Embedding Blur"), and reliance on a single data perspective. We present TriTopic,...
Astra: Activation-Space Tail-Eigenvector Low-Rank Adaptation of Large Language Models
arXiv:2602.19111v1 Announce Type: new Abstract: Parameter-Efficient Fine-Tuning (PEFT) methods, especially LoRA, are widely used for adapting pre-trained models to downstream tasks due to their computational and storage efficiency. However, in the context of LoRA and its variants, the potential of...
AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAG
arXiv:2602.19127v1 Announce Type: new Abstract: With the rapid advancement of agent-based methods in recent years, Agentic RAG has undoubtedly become an important research direction. Multi-hop reasoning, which requires models to engage in deliberate thinking and multi-step interaction, serves as a...
TurkicNLP: An NLP Toolkit for Turkic Languages
arXiv:2602.19174v1 Announce Type: new Abstract: Natural language processing for the Turkic language family, spoken by over 200 million people across Eurasia, remains fragmented, with most languages lacking unified tooling and resources. We present TurkicNLP, an open-source Python library providing a...
Retrieval Augmented Enhanced Dual Co-Attention Framework for Target Aware Multimodal Bengali Hateful Meme Detection
arXiv:2602.19212v1 Announce Type: new Abstract: Hateful content on social media increasingly appears as multimodal memes that combine images and text to convey harmful narratives. In low-resource languages such as Bengali, automated detection remains challenging due to limited annotated data, class...
How to Train Your Deep Research Agent? Prompt, Reward, and Policy Optimization in Search-R1
arXiv:2602.19526v1 Announce Type: new Abstract: Deep Research agents tackle knowledge-intensive tasks through multi-round retrieval and decision-oriented generation. While reinforcement learning (RL) has been shown to improve performance in this paradigm, its contributions remain underexplored. To fully understand the role of...
Hyper-KGGen: A Skill-Driven Knowledge Extractor for High-Quality Knowledge Hypergraph Generation
arXiv:2602.19543v1 Announce Type: new Abstract: Knowledge hypergraphs surpass traditional binary knowledge graphs by encapsulating complex $n$-ary atomic facts, providing a more comprehensive paradigm for semantic representation. However, constructing high-quality hypergraphs remains challenging due to the \textit{scenario gap}: generic extractors struggle...
Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework
arXiv:2602.19549v1 Announce Type: new Abstract: Visual Document Retrieval (VDR), which aims to retrieve relevant pages within vast corpora of visually-rich documents, is of significance in current multimodal retrieval applications. The state-of-the-art multi-vector paradigm excels in performance but suffers from prohibitive...
Eye-Tracking-while-Reading: A Living Survey of Datasets with Open Library Support
arXiv:2602.19598v1 Announce Type: new Abstract: Eye-tracking-while-reading corpora are a valuable resource for many different disciplines and use cases. Use cases range from studying the cognitive processes underlying reading to machine-learning-based applications, such as gaze-based assessments of reading comprehension. The past...
The Geometry of Multi-Task Grokking: Transverse Instability, Superposition, and Weight Decay Phase Structure
arXiv:2602.18523v1 Announce Type: new Abstract: Grokking -- the abrupt transition from memorization to generalization long after near-zero training loss -- has been studied mainly in single-task settings. We extend geometric analysis to multi-task modular arithmetic, training shared-trunk Transformers on dual-task...