Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation
Study of punctuation robustness in English-Marathi neural machine translation systems handling user-generated text.
Study of punctuation robustness in English-Marathi neural machine translation systems handling user-generated text.
Informative alignment metric identifying which chain-of-thought trajectories from teacher LLMs best suit student LLM distillation.
Layer-wise swapping technique for improving multilingual safety alignment in LLMs across low-resource languages.
Reinforced Attention Learning (RAL): Policy-gradient framework optimizing internal attention distributions in multimodal LLMs via RL post-training.
SciClaimEval dataset for cross-modal claim verification in scientific papers with authentic refuted claims from modified figures and tables.
Bielik Guard: Compact Polish language safety classifiers (0.1B and 0.5B parameters) for LLM content moderation.
Theoretical discussion of LLM pattern prediction versus human language acquisition in response to Chomsky's critique of ChatGPT.
GISA benchmark for evaluating information-seeking agents that perform multi-turn web interactions with naturally-constructed queries aligned to real-world needs.
Mechanistic analysis of backdoor attacks in LLMs using activation patching to localize how language-switching triggers operate internally.
Multimodal Finance Eval benchmark for evaluating vision-language models on French financial document understanding with tables, text, and charts.
Feature Activation Coverage (FAC) metric for measuring diversity in LLM post-training data based on task-relevant feature activation rather than linguistic variation.
Evaluates transformer language models on Georgian split-ergative case alignment using treebank-based minimal pairs and Grew query language.
Study on distinguishing nonsensical vs. anomalous sentences using generated contexts, comparing human and LLM interpretation abilities.
Research on detecting underspecified questions in QA datasets and showing LLM performance improves with question rewriting.
LaCy: analysis of small language model capacity limits and strategies for knowledge augmentation through external sources.
WavBench: benchmark for evaluating spoken dialogue models on reasoning, colloquialisms, and paralinguistics beyond text-generation standards.
Research on detecting information loss in token compression techniques for retrieval-augmented generation in long-context LLMs.
T3D: diffusion language model framework using trajectory self-distillation to enable fast few-step parallel token decoding.
HRET: unified evaluation framework standardizing Korean language model assessment protocols to address reproducibility gaps.
R-Zero: self-evolving LLM framework that autonomously generates and learns from experiences without extensive human-curated data.
mpLLM: multimodal LLM with mixture-of-experts for visual question answering on 3D brain MRI for neuroradiology applications.
VoiceAgentBench: comprehensive benchmark evaluating speech language models on agentic tasks and adversarial robustness.
Boundary Guidance: reinforcement learning approach to reduce classifier decision boundary drift in filtered text generation.
Fine-tuned LLM for automated depression screening in Nigerian Pidgin English addressing language barriers in low-income settings.
CryptoFair-FL: cryptographic framework providing verifiable fairness guarantees for federated learning under privacy constraints.
FiMI: domain-specialized financial language model for Indian digital payments, adapted from Mistral Small with multilingual capabilities.
MLDocRAG system for multimodal document retrieval-augmented generation addressing cross-modal and cross-page reasoning in long-context documents.
pplx-embed: multilingual embedding models using diffusion-based pretraining and contrastive learning for web-scale retrieval tasks.
Research on Selective Abstraction framework for LLMs to reduce factual errors by strategically abstaining rather than binary all-or-nothing filtering.
Medical vision-language foundation model with entity-aware pretraining for clinical applications. SOTA on medical benchmarks.
arXiv study evaluating robustness of nine frontier reasoning models under multi-turn adversarial attacks.
Streaming JSON parser enabling partial parsing of LLM outputs with delta tracking and ambiguity trees for structured responses.
AVX-512 fused NF4 dequantization kernels for local LLM inference without CUDA, works with quantized models and MoE.
Open source WordPress chatbot AI agent integrating AI Client and Abilities API for post creation and tagging.
ContextSubstrate: developer tool for reproducible, debuggable AI agent execution using content-addressed snapshots and standard primitives.
AI agent with risk management guardrails for automated prediction market trading using aggregated bettor signals.
Essay on parallels between early scientific discovery by amateurs and current AI research accessibility.
Autonomous AI agents running on local laptop via Telegram, reducing manual orchestration overhead for Claude integration.
Security audit of 8 popular MCP servers identifying vulnerabilities in code execution environments used by AI agents to access databases, filesystems, and APIs.
OpenSlimedit plugin reduces AI coding token usage 21-45% via tool description compression and output compaction.
Security analysis of MCP (Model Context Protocol) servers highlighting schema drift attacks where tool schemas change silently across npm package updates, expanding attack surface for AI agents.
Conceptual piece comparing AI agent design patterns to biological systems. Limited technical detail.
Tool for poisoning audio files against AI model training. Data protection technique relevant to ML research.
Custom AI agent built with OpenClaw replacing $500/month SaaS stack. Handles Instagram DMs, content posting, competitor tracking on Mac Mini.
Self-hosted job automation tool using LLM for job fit scoring. Scrapes LinkedIn/Indeed/Glassdoor, tailors resumes, tracks replies. Docker-based with SQLite.
Medical RAG system combining FHIR standards with Milvus vector database for healthcare document processing.
SDK tool tracking AI model usage and customer profitability. Integrates OpenAI costs with Stripe revenue. TypeScript/Python/REST.
Design framework for execution boundaries and responsibility structures in autonomous AI systems interacting with physical world.
Reflection on productivity trade-offs and coding practices when using AI code assistants.
AI agent combat arena/benchmark tool. Minimal details but relevant to agent research.