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odjMSBSWRt | 2503.10728 | DarkBench: Benchmarking Dark Patterns in Large Language Models | https://openreview.net/forum?id=odjMSBSWRt | [
"Esben Kran",
"Hieu Minh Nguyen",
"Akash Kundu",
"Sami Jawhar",
"Jinsuk Park",
"Mateusz Maria Jurewicz"
] | Oral | We introduce DarkBench, a comprehensive benchmark for detecting dark design patterns—manipulative techniques that influence user behavior—in interactions with large language models (LLMs). Our benchmark comprises 660 prompts across six categories: brand bias, user retention, sycophancy, anthropomorphism, harmful genera... | Dark Patterns, AI Deception, Large Language Models | We introduce DarkBench, a benchmark revealing that many large language models employ manipulative dark design patterns. Organizations developing LLMs should actively recognize and mitigate the impact of dark design patterns to promote ethical Al. | 14,257 | 2503.10728 | [
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DarkBench: Benchmarking Dark Patterns in Large Lan-
guage Models
Esben Kran∗ Jord Nguyen∗ Akash Kundu∗
Apart Research Apart Research Apart Research
Sami Jawhar∗ Jinsuk Park∗ Mateusz Jurewicz
METR Independent Independent
Abstract
We introduce DarkBench, a comprehensive benchm... | cs.CL cs.AI cs.CY | 2025-03-17T00:00:00 | darkbench: benchmarking dark patterns in large language models | This paper introduces **DarkBench**, a comprehensive benchmark designed to detect and measure the prevalence of "dark design patterns" in Large Language Models (LLMs). Dark patterns are defined as manipulative techniques that implicitly influence user behavior against their intention, often for profit.
**Method Used:*... | odjMSBSWRt | 3 | 0 |
aWXnKanInf | 2410.11516 | TopoLM: brain-like spatio-functional organization in a topographic language model | https://openreview.net/forum?id=aWXnKanInf | [
"Neil Rathi",
"Johannes Mehrer",
"Badr AlKhamissi",
"Taha Osama A Binhuraib",
"Nicholas Blauch",
"Martin Schrimpf"
] | Oral | Neurons in the brain are spatially organized such that neighbors on tissue often exhibit similar response profiles. In the human language system, experimental studies have observed clusters for syntactic and semantic categories, but the mechanisms underlying this functional organization remain unclear. Here, building o... | language modeling, topography, fMRI, neuroscience | We develop a transformer language model with topographically organized units predicting brain-like spatio-functional organization. | 13,712 | 2410.11516 | [
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TOPOLM: BRAIN-LIKE SPATIO-FUNCTIONAL ORGANI-
ZATION IN A TOPOGRAPHIC LANGUAGE MODEL
Neil Rathi∗,1,2, Johannes Mehrer∗,1, Badr AlKhamissi1,
Taha Binhuraib3, Nicholas M. Blauch4,
Martin Schrimpf1,†
1EPFL, 2Stanford University, 3Georgia Institute of Technology, 4Harvard Unive... | cs.CL | 2025-05-16T00:00:00 | topolm: brain-like spatio-functional organization in a topographic language model | This paper introduces **TopoLM**, a novel transformer language model designed to incorporate brain-like spatio-functional organization. The core problem addressed is that while current neural network models can predict neural activity in the human language system, they lack the spatial arrangement of neurons observed i... | aWXnKanInf | 5 | 1 |
XmProj9cPs | 2411.07763 | Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows | https://openreview.net/forum?id=XmProj9cPs | ["Fangyu Lei","Jixuan Chen","Yuxiao Ye","Ruisheng Cao","Dongchan Shin","Hongjin SU","ZHAOQING SUO","(...TRUNCATED) | Oral | "Real-world enterprise text-to-SQL workflows often involve complex cloud or local data across variou(...TRUNCATED) | LLM Benchmark, Data Science and Engineering, Code Generation, Text-to-SQL, LLM Agent | "A benchmark for enterprise-level Text-to-SQL involving complex databases, challenging tasks, and re(...TRUNCATED) | 13,657 | 2411.07763 | [-0.03679848089814186,-0.04623184725642204,-0.04603664577007294,0.04519940912723541,-0.0141347078606(...TRUNCATED) | XmProj9cPs | [
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8,
8,
8
] | "Published as a conference paper at ICLR 2025\n\nSPIDER 2.0: EVALUATING LANGUAGE MODELS ON\nREAL-WOR(...TRUNCATED) | cs.CL cs.AI cs.DB | 2025-03-18T00:00:00 | spider 2.0: evaluating language models on real-world enterprise
text-to-sql workflows | "This document introduces **Spider 2.0**, a novel and significantly more challenging benchmark for e(...TRUNCATED) | XmProj9cPs | 38 | 2 |
eHehzSDUFp | 2410.01380 | Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition | https://openreview.net/forum?id=eHehzSDUFp | ["Jiyeon Kim","Hyunji Lee","Hyowon Cho","Joel Jang","Hyeonbin Hwang","Seungpil Won","Youbin Ahn","Do(...TRUNCATED) | Oral | "In this work, we investigate how a model's tendency to broadly integrate its parametric knowledge e(...TRUNCATED) | knowledge entropy, knowledge acquisition and forgetting, evolving behavior during LLM pretraining | "As pretraining progresses, models exhibit narrower integration of memory vectors, reflected by decr(...TRUNCATED) | 13,581 | 2410.01380 | [0.08067429810762405,-0.06784215569496155,0.0016120108775794506,0.1156923845410347,0.041765280067920(...TRUNCATED) | eHehzSDUFp | [
5,
8,
8,
8
] | "Published as a conference paper at ICLR 2025\n\nKNOWLEDGE ENTROPY DECAY DURING LANGUAGE MODEL\nPRET(...TRUNCATED) | cs.CL cs.AI | 2025-03-13T00:00:00 | knowledge entropy decay during language model pretraining hinders new
knowledge acquisition | "This paper investigates how the integration of parametric knowledge in large language models (LLMs)(...TRUNCATED) | eHehzSDUFp | 5 | 3 |
wM2sfVgMDH | 2501.15564 | Diffusion-Based Planning for Autonomous Driving with Flexible Guidance | https://openreview.net/forum?id=wM2sfVgMDH | ["Yinan Zheng","Ruiming Liang","Kexin ZHENG","Jinliang Zheng","Liyuan Mao","Jianxiong Li","Weihao Gu(...TRUNCATED) | Oral | "Achieving human-like driving behaviors in complex open-world environments is a critical challenge i(...TRUNCATED) | diffusion planning, autonomous driving | null | 13,578 | 2501.15564 | [0.003697252133861184,-0.10823868960142136,-0.02056341990828514,0.062148094177246094,0.0296959001570(...TRUNCATED) | wM2sfVgMDH | [
6,
8,
8,
8
] | "Published as a conference paper at ICLR 2025\n\nDIFFUSION-BASED PLANNING FOR AUTONOMOUS\nDRIVING WI(...TRUNCATED) | cs.RO cs.AI cs.LG | 2025-02-11T00:00:00 | diffusion-based planning for autonomous driving with flexible guidance | "This paper introduces **Diffusion Planner**, a novel transformer-based diffusion model for autonomo(...TRUNCATED) | wM2sfVgMDH | 17 | 4 |
Iyrtb9EJBp | 2409.11242 | "Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning t(...TRUNCATED) | https://openreview.net/forum?id=Iyrtb9EJBp | ["Maojia Song","Shang Hong Sim","Rishabh Bhardwaj","Hai Leong Chieu","Navonil Majumder","Soujanya Po(...TRUNCATED) | Oral | "LLMs are an integral component of retrieval-augmented generation (RAG) systems. While many studies (...TRUNCATED) | Large Language Models, Trustworthiness, Hallucinations, Retrieval Augmented Generation | How to better evaluate and make LLM better for RAG task | 13,377 | 2409.11242 | [-0.1142926886677742,-0.029256857931613922,-0.024079805240035057,-0.007724442984908819,-0.0203437376(...TRUNCATED) | Iyrtb9EJBp | [
8,
8,
8,
8
] | "Published as a conference paper at ICLR 2025\n\nMEASURING AND ENHANCING TRUSTWORTHINESS OF\nLLMS IN(...TRUNCATED) | cs.CL | 2025-04-25T00:00:00 | "measuring and enhancing trustworthiness of llms in rag through grounded\n attributions and learnin(...TRUNCATED) | "This paper addresses the critical issue of trustworthiness in Large Language Models (LLMs) when use(...TRUNCATED) | Iyrtb9EJBp | 12 | 5 |
NN6QHwgRrQ | 2410.19198 | MAP: Multi-Human-Value Alignment Palette | https://openreview.net/forum?id=NN6QHwgRrQ | ["Xinran Wang","Qi Le","Ammar Ahmed","Enmao Diao","Yi Zhou","Nathalie Baracaldo","Jie Ding","Ali Anw(...TRUNCATED) | Oral | "Ensuring that generative AI systems align with human values is essential but challenging, especiall(...TRUNCATED) | Human value alignment, Generative model | "The paper introduces Multi-Human-Value Alignment Palette (MAP), a novel approach to align generativ(...TRUNCATED) | 13,248 | 2410.19198 | [-0.02129107341170311,0.006724673323333263,-0.036662619560956955,-0.06650504469871521,-0.01666530035(...TRUNCATED) | NN6QHwgRrQ | [
8,
8,
8
] | "Published as a conference paper at ICLR 2025\n\nMAP: MULTI-HUMAN-VALUE ALIGNMENT PALETTE\n\nXinran (...TRUNCATED) | cs.AI cs.CY cs.ET cs.HC cs.LG | 2024-10-28T00:00:00 | map: multi-human-value alignment palette | "This paper introduces the **Multi-Human-Value Alignment Palette (MAP)**, a novel, first-principle a(...TRUNCATED) | NN6QHwgRrQ | 5 | 6 |
r5IXBlTCGc | 2412.18544 | Consistency Checks for Language Model Forecasters | https://openreview.net/forum?id=r5IXBlTCGc | ["Daniel Paleka","Abhimanyu Pallavi Sudhir","Alejandro Alvarez","Vineeth Bhat","Adam Shen","Evan Wan(...TRUNCATED) | Oral | "Forecasting is a task that is difficult to evaluate: the ground truth can only be known in the futu(...TRUNCATED) | forecasting, markets, trading, LLM, evaluation, eval, consistency, robustness | "It is difficult to evaluate AI forecasters instantaneously; we propose market-based consistency eva(...TRUNCATED) | 13,065 | 2412.18544 | [-0.07717876136302948,-0.09865415841341019,-0.04396665096282959,0.050274740904569626,0.0330551788210(...TRUNCATED) | r5IXBlTCGc | [
8,
8,
5,
8
] | "Published as a conference paper at ICLR 2025\n\nCONSISTENCY CHECKS FOR LANGUAGE MODEL\nFORECASTERS\(...TRUNCATED) | cs.LG cs.AI cs.CL stat.ML | 2025-01-13T00:00:00 | consistency checks for language model forecasters | "This paper introduces a novel framework for instantaneously evaluating and benchmarking Language Mo(...TRUNCATED) | r5IXBlTCGc | 3 | 7 |
BPgK5XW1Nb | 2406.04412 | Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment | https://openreview.net/forum?id=BPgK5XW1Nb | [
"Dongyoung Kim",
"Kimin Lee",
"Jinwoo Shin",
"Jaehyung Kim"
] | Oral | "Aligning large language models (LLMs) with human preferences becomes a key component to obtaining s(...TRUNCATED) | large language model, alignment, preference | null | 12,928 | 2406.04412 | [-0.09205672889947891,-0.08180037140846252,-0.01853586733341217,0.02387421391904354,0.05137999355792(...TRUNCATED) | BPgK5XW1Nb | [
10,
8,
8
] | "Published as a conference paper at ICLR 2025\n\nSPREAD PREFERENCE ANNOTATION: DIRECT PREFER-\nENCE (...TRUNCATED) | cs.LG cs.AI cs.CL | 2025-03-05T00:00:00 | spread preference annotation: direct preference judgment for efficient
llm alignment | "This document introduces **Spread Preference Annotation (SPA)**, a novel framework designed to effi(...TRUNCATED) | BPgK5XW1Nb | 15 | 8 |
or8mMhmyRV | 2412.08542 | MaestroMotif: Skill Design from Artificial Intelligence Feedback | https://openreview.net/forum?id=or8mMhmyRV | ["Martin Klissarov","Mikael Henaff","Roberta Raileanu","Shagun Sodhani","Pascal Vincent","Amy Zhang"(...TRUNCATED) | Oral | "Describing skills in natural language has the potential to provide an accessible way to inject huma(...TRUNCATED) | Hierarchical RL, Reinforcement Learning, LLMs | "A method for AI-assisted skill design via Motif and LLM code generation, solving tasks zero-shot fr(...TRUNCATED) | 12,735 | 2412.08542 | [-0.023494863882660866,-0.0449480339884758,0.025618351995944977,0.07570120692253113,-0.0202634111046(...TRUNCATED) | or8mMhmyRV | [
5,
8,
10,
8
] | "Published as a conference paper at ICLR 2025\n\nMAESTROMOTIF: SKILL DESIGN FROM\nARTIFICIAL INTELLI(...TRUNCATED) | cs.AI cs.CL cs.LG | 2024-12-12T00:00:00 | maestromotif: skill design from artificial intelligence feedback | "MaestroMotif is a novel method for **AI-assisted skill design** that leverages Large Language Model(...TRUNCATED) | or8mMhmyRV | 3 | 9 |
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