:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tang, Yixuan, Yang, Yi
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2605.27905
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Crowded in B-Space: Calibrating Shared Directions for LoRA Merging
by: Tang, Yixuan, et al.
Published: (2026)

KV-Embedding: Training-free Text Embedding via Internal KV Re-routing in Decoder-only LLMs
by: Tang, Yixuan, et al.
Published: (2026)

Mind the Shift: Decoding Monetary Policy Stance from FOMC Statements with Large Language Models
by: Tang, Yixuan, et al.
Published: (2026)

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
by: Tang, Yixuan, et al.
Published: (2024)

SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model Alignment
by: Tang, Yixuan, et al.
Published: (2025)

GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
by: Tang, Yixuan, et al.
Published: (2025)

Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?
by: Tang, Yixuan, et al.
Published: (2024)

Do We Need Domain-Specific Embedding Models? An Empirical Investigation
by: Tang, Yixuan, et al.
Published: (2024)

FinMTEB: Finance Massive Text Embedding Benchmark
by: Tang, Yixuan, et al.
Published: (2025)

Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning
by: Li, Jiaqi, et al.
Published: (2024)

PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactions
by: Tang, Yixuan, et al.
Published: (2025)

AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite
by: Bragg, Jonathan, et al.
Published: (2025)

FML-bench: Benchmarking Machine Learning Agents for Scientific Research
by: Zou, Qiran, et al.
Published: (2025)

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
by: Lyu, Yougang, et al.
Published: (2026)

Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models
by: Deng, Ningyuan, et al.
Published: (2025)

AI4Research: A Survey of Artificial Intelligence for Scientific Research
by: Chen, Qiguang, et al.
Published: (2025)

SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning
by: Zheng, Tianshi, et al.
Published: (2026)

FLARE: Task-agnostic embedding model evaluation through a normalization process
by: Jiang, Jingzhou, et al.
Published: (2026)

Debating the Unspoken: Role-Anchored Multi-Agent Reasoning for Half-Truth Detection
by: Tang, Yixuan, et al.
Published: (2026)

Evaluating and Aligning Human Economic Risk Preferences in LLMs
by: Liu, Jiaxin, et al.
Published: (2025)

Multi-Modal Data Exploration via Language Agents
by: Nooralahzadeh, Farhad, et al.
Published: (2024)

SciNet: Evaluating AI Agents in Relation-Aware Scientific Literature Retrieval
by: Shao, Chenyang, et al.
Published: (2025)

FlowPIE: Test-Time Scientific Idea Evolution with Flow-Guided Literature Exploration
by: Wang, Qiyao, et al.
Published: (2026)

SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation
by: Besrour, Ines, et al.
Published: (2025)

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers
by: Xu, Zhijian, et al.
Published: (2025)

The Straight and Narrow: Do LLMs Possess an Internal Moral Path?
by: Hu, Luoming, et al.
Published: (2026)

SciAgentGym: Benchmarking Multi-Step Scientific Tool-use in LLM Agents
by: Shen, Yujiong, et al.
Published: (2026)

Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper
by: Miyai, Atsuyuki, et al.
Published: (2025)

When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research
by: Son, Guijin, et al.
Published: (2025)

MARG: Multi-Agent Review Generation for Scientific Papers
by: D'Arcy, Mike, et al.
Published: (2024)

BAGEL: Bootstrapping Agents by Guiding Exploration with Language
by: Murty, Shikhar, et al.
Published: (2024)

From Labor to Collaboration: A Methodological Experiment Using AI Agents to Augment Research Perspectives in Taiwan's Humanities and Social Sciences
by: Huang, Yi-Chih
Published: (2026)

DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
by: Weng, Yixuan, et al.
Published: (2025)

EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs
by: Xu, Wanghan, et al.
Published: (2025)

SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration
by: Ding, Keyan, et al.
Published: (2025)

AI Can Learn Scientific Taste
by: Tong, Jingqi, et al.
Published: (2026)

An Evaluation-Centric Paradigm for Scientific Visualization Agents
by: Ai, Kuangshi, et al.
Published: (2025)

ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
by: Baek, Jinheon, et al.
Published: (2024)

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?
by: Guo, Dadi, et al.
Published: (2026)

SciAgent: Tool-augmented Language Models for Scientific Reasoning
by: Ma, Yubo, et al.
Published: (2024)