PDFTriage: Question Answering over Long, Structured Documents
Paper
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2309.08872
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Published
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53
LLM-Papers
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Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 39 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 16 -
Data-Centric Financial Large Language Models
Paper • 2310.17784 • Published • 14 -
TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise
Paper • 2310.19019 • Published • 9 -
Contrastive Chain-of-Thought Prompting
Paper • 2311.09277 • Published • 34 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 70 -
Context Tuning for Retrieval Augmented Generation
Paper • 2312.05708 • Published • 16 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 56 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 79 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 181 -
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
Paper • 2401.04398 • Published • 21 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 28 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 69 -
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
Paper • 2402.05140 • Published • 20 -
AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts
Paper • 2402.07625 • Published • 11 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 40 -
FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models
Paper • 2402.10986 • Published • 77 -
Knowledge Fusion of Large Language Models
Paper • 2401.10491 • Published • 3 -
SaulLM-7B: A pioneering Large Language Model for Law
Paper • 2403.03883 • Published • 75 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 67 -
TnT-LLM: Text Mining at Scale with Large Language Models
Paper • 2403.12173 • Published • 19 -
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Paper • 2403.13372 • Published • 62 -
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models
Paper • 2405.20541 • Published • 21 -
Towards a Personal Health Large Language Model
Paper • 2406.06474 • Published • 18 -
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
Paper • 2406.09170 • Published • 24 -
Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 85 -
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Paper • 2406.17557 • Published • 86 -
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
Paper • 2406.19215 • Published • 29 -
Show Less, Instruct More: Enriching Prompts with Definitions and Guidelines for Zero-Shot NER
Paper • 2407.01272 • Published • 8 -
LETS-C: Leveraging Language Embedding for Time Series Classification
Paper • 2407.06533 • Published • 2 -
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
Paper • 2407.09413 • Published • 9 -
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
Paper • 2407.12854 • Published • 29 -
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
Paper • 2407.18961 • Published • 39 -
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain
Paper • 2407.19584 • Published • 62 -
Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models
Paper • 2407.19474 • Published • 23 -
Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
Paper • 2407.18248 • Published • 31 -
MindSearch: Mimicking Human Minds Elicits Deep AI Searcher
Paper • 2407.20183 • Published • 38 -
LAMBDA: A Large Model Based Data Agent
Paper • 2407.17535 • Published • 34 -
Knowledge Mechanisms in Large Language Models: A Survey and Perspective
Paper • 2407.15017 • Published • 33 -
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 48 -
Text2SQL is Not Enough: Unifying AI and Databases with TAG
Paper • 2408.14717 • Published • 24 -
Foundation Models for Music: A Survey
Paper • 2408.14340 • Published • 42 -
Efficient Detection of Toxic Prompts in Large Language Models
Paper • 2408.11727 • Published • 12 -
Sapiens: Foundation for Human Vision Models
Paper • 2408.12569 • Published • 89 -
Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 63 -
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Paper • 2408.09174 • Published • 51 -
OLMoE: Open Mixture-of-Experts Language Models
Paper • 2409.02060 • Published • 77 -
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
Paper • 2409.05840 • Published • 45 -
Towards a Unified View of Preference Learning for Large Language Models: A Survey
Paper • 2409.02795 • Published • 72 -
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models
Paper • 2409.11136 • Published • 21 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 135 -
A Controlled Study on Long Context Extension and Generalization in LLMs
Paper • 2409.12181 • Published • 43 -
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Paper • 2409.12183 • Published • 36 -
A Comprehensive Evaluation of Quantized Instruction-Tuned Large Language Models: An Experimental Analysis up to 405B
Paper • 2409.11055 • Published • 16 -
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Paper • 2409.10516 • Published • 39 -
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types
Paper • 2409.09269 • Published • 7 -
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?
Paper • 2409.15277 • Published • 34 -
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
Paper • 2409.16191 • Published • 41 -
Boosting Healthcare LLMs Through Retrieved Context
Paper • 2409.15127 • Published • 19 -
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
Paper • 2409.17481 • Published • 46 -
Instruction Following without Instruction Tuning
Paper • 2409.14254 • Published • 27 -
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
Paper • 2409.20566 • Published • 52 -
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices
Paper • 2410.00531 • Published • 29 -
Law of the Weakest Link: Cross Capabilities of Large Language Models
Paper • 2409.19951 • Published • 53 -
Embodied-RAG: General non-parametric Embodied Memory for Retrieval and Generation
Paper • 2409.18313 • Published • 3 -
Not All LLM Reasoners Are Created Equal
Paper • 2410.01748 • Published • 27 -
Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models
Paper • 2410.02740 • Published • 52 -
Video Instruction Tuning With Synthetic Data
Paper • 2410.02713 • Published • 37 -
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise
Paper • 2410.03017 • Published • 25 -
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
Paper • 2410.02707 • Published • 48 -
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
Paper • 2410.05080 • Published • 19 -
Personalized Visual Instruction Tuning
Paper • 2410.07113 • Published • 69 -
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints
Paper • 2410.06458 • Published • 8 -
MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
Paper • 2410.07095 • Published • 6 -
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code
Paper • 2410.08196 • Published • 44 -
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents
Paper • 2410.03450 • Published • 36 -
Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning
Paper • 2410.06508 • Published • 10 -
Vector-ICL: In-context Learning with Continuous Vector Representations
Paper • 2410.05629 • Published • 3 -
Baichuan-Omni Technical Report
Paper • 2410.08565 • Published • 84 -
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
Paper • 2410.08815 • Published • 42 -
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning
Paper • 2410.06456 • Published • 35 -
MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks
Paper • 2410.10563 • Published • 37 -
Thinking LLMs: General Instruction Following with Thought Generation
Paper • 2410.10630 • Published • 17 -
SecCodePLT: A Unified Platform for Evaluating the Security of Code GenAI
Paper • 2410.11096 • Published • 12 -
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
Paper • 2410.13085 • Published • 20 -
WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines
Paper • 2410.12705 • Published • 29 -
TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration
Paper • 2410.12183 • Published • 3 -
UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models
Paper • 2410.14059 • Published • 53 -
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
Paper • 2410.14669 • Published • 35 -
Improve Vision Language Model Chain-of-thought Reasoning
Paper • 2410.16198 • Published • 17 -
MiniPLM: Knowledge Distillation for Pre-Training Language Models
Paper • 2410.17215 • Published • 12 -
MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
Paper • 2410.19168 • Published • 19 -
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
Paper • 2411.02337 • Published • 36 -
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Paper • 2411.02959 • Published • 64 -
Self-Consistency Preference Optimization
Paper • 2411.04109 • Published • 14