Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55
Natural Language (LLM, NLP etc)
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FlowMind: Automatic Workflow Generation with LLMs
Paper • 2404.13050 • Published • 34 -
How Far Can We Go with Practical Function-Level Program Repair?
Paper • 2404.12833 • Published • 7 -
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
Paper • 2404.18796 • Published • 71 -
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
Paper • 2405.01535 • Published • 124 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90 -
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries
Paper • 2406.12824 • Published • 21 -
Tokenization Falling Short: The Curse of Tokenization
Paper • 2406.11687 • Published • 16 -
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
Paper • 2406.11811 • Published • 16 -
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks
Paper • 2406.12925 • Published • 25 -
HARE: HumAn pRiors, a key to small language model Efficiency
Paper • 2406.11410 • Published • 40 -
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges
Paper • 2406.12624 • Published • 37 -
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
Paper • 2406.15319 • Published • 64 -
Octo-planner: On-device Language Model for Planner-Action Agents
Paper • 2406.18082 • Published • 48 -
WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
Paper • 2406.18495 • Published • 13 -
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Paper • 2406.20094 • Published • 107 -
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Paper • 2407.09025 • Published • 140 -
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
Paper • 2407.13623 • Published • 56 -
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
Paper • 2407.12854 • Published • 31 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 133 -
Text2SQL is Not Enough: Unifying AI and Databases with TAG
Paper • 2408.14717 • Published • 26 -
Generative Verifiers: Reward Modeling as Next-Token Prediction
Paper • 2408.15240 • Published • 13 -
Towards a Unified View of Preference Learning for Large Language Models: A Survey
Paper • 2409.02795 • Published • 72 -
LLaMA-Omni: Seamless Speech Interaction with Large Language Models
Paper • 2409.06666 • Published • 60 -
GroUSE: A Benchmark to Evaluate Evaluators in Grounded Question Answering
Paper • 2409.06595 • Published • 38 -
Not All LLM Reasoners Are Created Equal
Paper • 2410.01748 • Published • 29 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 55 -
MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents
Paper • 2501.08828 • Published • 30 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 302 -
Potential and Perils of Large Language Models as Judges of Unstructured Textual Data
Paper • 2501.08167 • Published • 6 -
MinMo: A Multimodal Large Language Model for Seamless Voice Interaction
Paper • 2501.06282 • Published • 53 -
ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization
Paper • 2502.04306 • Published • 20 -
Matryoshka Representation Learning
Paper • 2205.13147 • Published • 25