Cover Image

LLM Augmentations to support Analytical Reasoning over Multiple Documents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yousuf, Raquib Bin, Defelice, Nicholas, Sharma, Mandar, Xu, Shengzhe, Ramakrishnan, Naren
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can an LLM Induce a Graph? Investigating Memory Drift and Context Length
by: Yousuf, Raquib Bin, et al.
Published: (2025)

Information Guided Regularization for Fine-tuning Language Models
by: Sharma, Mandar, et al.
Published: (2024)

Utilizing Metadata for Better Retrieval-Augmented Generation
by: Yousuf, Raquib Bin, et al.
Published: (2026)

Laying Anchors: Semantically Priming Numerals in Language Modeling
by: Sharma, Mandar, et al.
Published: (2024)

Why LLMs Are Bad at Synthetic Table Generation (and what to do about it)
by: Xu, Shengzhe, et al.
Published: (2024)

Innovations in Neural Data-to-text Generation: A Survey
by: Sharma, Mandar, et al.
Published: (2022)

Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems
by: Xu, Shengzhe, et al.
Published: (2024)

Enabling Intrinsic Reasoning over Dense Geospatial Embeddings with DFR-Gemma
by: Zhang, Xuechen, et al.
Published: (2026)

When can isotropy help adapt LLMs' next word prediction to numerical domains?
by: Shelim, Rashed, et al.
Published: (2025)

DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy
by: Sun, Hongda, et al.
Published: (2023)

G-MemLLM: Gated Latent Memory Augmentation for Long-Context Reasoning in Large Language Models
by: Xu, Xun
Published: (2026)

Answering Questions by Meta-Reasoning over Multiple Chains of Thought
by: Yoran, Ori, et al.
Published: (2023)

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation
by: Xu, Bin, et al.
Published: (2024)

Think-Augmented Function Calling: Improving LLM Parameter Accuracy Through Embedded Reasoning
by: Wei, Lei, et al.
Published: (2026)

Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation
by: Li, Sha, et al.
Published: (2025)

Not Wrong, But Untrue: LLM Overconfidence in Document-Based Queries
by: Hagar, Nick, et al.
Published: (2025)

Retrieval-Augmented Reasoning for Chartered Accountancy
by: Gupta, Jatin, et al.
Published: (2026)

Effective Reasoning Chains Reduce Intrinsic Dimensionality
by: Prasad, Archiki, et al.
Published: (2026)

Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs
by: Myers, Skatje, et al.
Published: (2025)

The Path of Least Resistance: Guiding LLM Reasoning Trajectories with Prefix Consensus
by: Jindal, Ishan, et al.
Published: (2026)

Better RAG using Relevant Information Gain
by: Pickett, Marc, et al.
Published: (2024)

DeduCE: Deductive Consistency as a Framework to Evaluate LLM Reasoning
by: Pandey, Atharva, et al.
Published: (2025)

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
by: Huan, Maggie, et al.
Published: (2025)

Multi-View Attention Multiple-Instance Learning Enhanced by LLM Reasoning for Cognitive Distortion Detection
by: Kim, Jun Seo, et al.
Published: (2025)

ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback
by: Wu, Qinzhuo, et al.
Published: (2024)

QuOTE: Question-Oriented Text Embeddings
by: Neeser, Andrew, et al.
Published: (2025)

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data
by: Zhu, Fengbin, et al.
Published: (2024)

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools
by: Wu, Junde, et al.
Published: (2025)

Contexts are Never Long Enough: Structured Reasoning for Scalable Question Answering over Long Document Sets
by: Joshi, Harshit, et al.
Published: (2026)

Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization
by: Zhu, Yutao, et al.
Published: (2025)

Can Large Language Models do Analytical Reasoning?
by: Hu, Yebowen, et al.
Published: (2024)

ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
by: Yang, Ling, et al.
Published: (2025)

Reinforcement Learning for Optimizing RAG for Domain Chatbots
by: Kulkarni, Mandar, et al.
Published: (2024)

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models
by: Ramakrishnan, Badrinath, et al.
Published: (2025)

LLM CHESS: Benchmarking Reasoning and Instruction-Following in LLMs through Chess
by: Kolasani, Sai, et al.
Published: (2025)

Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
by: Gong, Haisong, et al.
Published: (2024)

Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty?
by: Nan, Yang, et al.
Published: (2025)

Reasoning on Multiple Needles In A Haystack
by: Wang, Yidong
Published: (2025)

Navigating Large-Scale Document Collections: MuDABench for Multi-Document Analytical QA
by: Li, Zhanli, et al.
Published: (2026)

DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation
by: Ni, Jingwei, et al.
Published: (2024)