Natural Language Processing

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Alignment Defends LLMs from Property Inference Attacks

 🎯Fine-Tuning  Content type: Academic
arxiv.org·

Representation-Aware Advantage Estimation: Your Reward Model Provides More Than A Scalar Output

 🎯RLHF  Content type: Academic
arxiv.org·

Hidden Consensus:Preference-Validity Compression in Human Feedback

 🎯Fine-Tuning  Content type: Academic
arxiv.org·

TeamHerald@CHIPSAL 2026: Hate Speech Detection and Sentiment Analysis of Nepali Memes using Transformer-based Architectures and Ensemble Learning

 📝NLP  Content type: Academic
arxiv.org·

Auditing Training Data in Domain-adapted LLMs: LoRA-MINT

 🎛️Fine-tuning  Content type: Academic
arxiv.org·

Annotation of Positive vs Negative User Interactions for Social Sign Prediction

 📝NLP  Content type: Academic
arxiv.org·

Towards Tight Bounds for Streaming Attention

 🤖AI  Content type: Academic
arxiv.org·

LLMCodec: Adapting Video Codecs for Efficient Weight Compression of Large Language Models

 💬LLMs  Content type: Academic
arxiv.org·

AI-Driven Test Case Generation from Natural Language Requirements: A Survey of Techniques and Research Gaps

 📝NLP  Content type: Academic
arxiv.org·

GRAMformer: Any-Order Modality Interactions via Volumetric Multimodal Cross-Attention

 🤖AI  Content type: Academic
arxiv.org·

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)

 💬LLMs  Content type: Academic
arxiv.org·

GuardNet: Ensemble Strategies of Shallow Neural Networks for Robust Prompt Injection and Jailbreak Detection

 🤖AI  Content type: Academic
arxiv.org·

"Chi nas dal soch el sent de legn" -- Auditing Text Corpora for Lombard

 📝NLP  Content type: Academic
arxiv.org·

What Do People Actually Want From AI? Mapping Preference Plurality

 🎯RLHF  Content type: Academic
arxiv.org·

Beyond Generative Decoding: Discriminative Hidden-State Readout from a Native Omni-Modal LLM for Multimodal Sentiment Analysis

 🎛️Fine-tuning  Content type: Academic
arxiv.org·

LLM Explainability with Counterfactual Chains and Causal Graphs

 📝NLP  Content type: Academic
arxiv.org·

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